Total Papers: Updated regularly with latest publications
Coverage: Papers from 2016 to present
Sources: Collected from arXiv, NeurIPS, ICML, ICLR, ACL, EMNLP, AAAI, IJCAI, KDD, CVPR, ICCV, ECCV, IEEE, ACM, Springer, ScienceDirect, Nature, and other top AI/ML conferences and journals
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📊 Comprehensive Coverage: Papers from major AI/ML venues
🔍 Advanced Search: Filter by title, author, venue, year
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Data Sources

The papers are collected from the following sources:

Academic Databases

arXiv (1991-present) - Preprints and published papers
OpenReview - Conference submissions and peer reviews
ACM Digital Library - Computer science publications
Springer - Academic journals and conferences
ScienceDirect - Elsevier publications
Nature - High-impact research papers
DBLP - Computer science bibliography
Google Scholar - Academic search engine
CrossRef - DOI registration agency
OpenAlex - Open scholarly data

Major Conferences & Journals

Machine Learning: NeurIPS, ICML, ICLR, JMLR, TMLR
Natural Language Processing: ACL, EMNLP, NAACL, COLING
Computer Vision: CVPR, ICCV, ECCV, PAMI, IJCV
Artificial Intelligence: AAAI, IJCAI, AAMAS
Data Mining: KDD, ICDM, SDM, TKDD
Security & Privacy: CCS, USENIX Security, NDSS
And many more...

Federated Learning Papers with Code

Due to GitHub repository limitations, this section includes only those papers that provide accompanying code, sorted by publication date. For access to the full list of papers, please visit the Shinyapps website.

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No.	Title	Authors	Publish Date	Venue	Code	URL
1	Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication	Felix Sattler, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek		OpenReview	2 code implementations	https://openreview.net/pdf/79a831ab8097889e3fd0194e2ca435da6c069550.pdf
2	Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training	Yujun Lin, Song Han, Huizi Mao, Yu Wang, Bill Dally		OpenReview	1 code implementation	https://openreview.net/pdf/41772454cc4bd99cc9865acd9eb52dadf67ccb50.pdf
3	Shuffle Gaussian Mechanism for Differential Privacy	Seng Pei Liew, Tsubasa Takahashi		OpenReview	3 code implementations	https://openreview.net/pdf/6a177e06ea96d826fdc4e3225b1f5421dc808586.pdf
4	Low Rank Training of Deep Neural Networks for Emerging Memory Technology	Albert Gural, Phillip Nadeau, Mehul Tikekar, Boris Murmann		OpenReview	1 code implementation	https://openreview.net/pdf/ded4869c017f6803939dcc2ebf18c9cca5342392.pdf
5	Learning Differentially Private Recurrent Language Models	H. Brendan McMahan, Daniel Ramage, Kunal Talwar, Li Zhang		OpenReview	1 code implementation	https://openreview.net/pdf/3f8fd2b61e7e83c63a36b191a9a9881f9a8602e6.pdf
6	Federated causal discovery	Erdun Gao, Junjia Chen, Li Shen, Tongliang Liu, Mingming Gong, Howard Bondell		OpenReview	4 code implementations	https://openreview.net/pdf/5147d31a2ed490c32efc78d17a12d562b54d11a0.pdf
7	Federated Distillation of Natural Language Understanding with Confident Sinkhorns	Rishabh Bhardwaj, Tushar Vaidya, Soujanya Poria		OpenReview	5 code implementations	https://openreview.net/pdf/0cfb9ce546c1723a5c53d1c63a403cf301d57cf8.pdf
8	Dynamic Differential-Privacy Preserving SGD	Jian Du, Song Li, Fengran Mo, Siheng Chen		OpenReview	1 code implementation	https://openreview.net/pdf/8bf56ae024baac064694c15c86813ea02f0b9c02.pdf
9	`PPFL`: A Personalized Federated Learning Framework for Heterogeneous Population	Di Hao, Yi Yang, H. Ye, Xiangyu Chang	2025-08-25	INFORMS journal on computing	https://github.com/INFORMSJoC/2023.0376	https://doi.org/10.1287/ijoc.2023.0376
10	Federated learning for digital twin applications: a privacy-preserving and low-latency approach	Jie Li, Dong Wang	2025-08-08	PeerJ Computer Science	https://github.com/fujianU/federated-learning	https://doi.org/10.7717/peerj-cs.2877
11	Privacy‐Preserving Crowd Counting via Quantum‐Enhanced Federated Learning	Chen Zhang, Jing’an Cheng, Qiang Zhou, Wenzhe Zhai, Mingliang Gao	2025-07-28	Expert Systems	https://github.com/sdutzhangchen/PQNet	https://doi.org/10.1111/exsy.70098
12	Privacy Protection and Statistical Efficiency Trade-Off for Federated Learning	Haobo Qi, Feifei Wang, Hansheng Wang	2025-07-15	INFORMS journal on computing	https://github.com/INFORMSJoC/2024.0554	https://doi.org/10.1287/ijoc.2024.0554
13	Personalized Multi-tier Federated Learning	Sourasekhar Banerjee, Ali Dadras, Alp Yurtsever, Monowar H. Bhuyan	2025-07-06	Communications in computer and information science	1 code implementation	https://openreview.net/pdf/b5ccc09a1be75dd37e199cda4374ab68fa873ab2.pdf
14	Optimizing Communication Efficiency through Training Potential in Multi-Modal Federated Learning	Yinghao Zhang, Jianxiong Guo, Xingjian Ding, Zhiqing Tang, Tian Wang, Weili Wu, Weijia Jia	2025-07-05	ACM Transactions on Internet Technology	https://github.com/1643204431/OCETPMMFL.	https://doi.org/10.1145/3747590
15	pFedMMA: Personalized Federated Fine-Tuning with Multi-Modal Adapter for Vision-Language Models	Sajjad Ghiasvand, Mahnoosh Alizadeh, Ramtin Pedarsani	2025-07-01	arXiv	https://github.com/sajjad-ucsb/pFedMMA.	http://arxiv.org/abs/2507.05394v1
16	Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing	Zhufeng Lu, Chentao Jia, Ming Hu, Xiaofei Xie, Mingsong Chen	2025-07-01	arXiv	https://github.com/mastlab-T3S/FedRAS.	http://arxiv.org/abs/2507.08842v1
17	Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection	Rei Tamaru, Pei Li, Bin Ran	2025-07-01	arXiv	https://github.com/raynbowy23/FedMeta-GeoLane.git.	http://arxiv.org/abs/2507.08743v1
18	BackFed: An Efficient & Standardized Benchmark Suite for Backdoor Attacks in Federated Learning	Thinh Dao, Dung Thuy Nguyen, Khoa D. Doan, Kok-Seng Wong	2025-07-01	arXiv	https://github.com/thinh-dao/BackFed.	https://doi.org/10.48550/arXiv.2507.04903
19	S2FGL: Spatial Spectral Federated Graph Learning	Zihan Tan, Suyuan Huang, Guancheng Wan, Wenke Huang, He Li, Mang Ye	2025-07-01	arXiv	https://github.com/Wonder7racer/S2FGL.git.	http://arxiv.org/abs/2507.02409v2
20	RAIM: Three-stage Stackelberg Game for Hierarchical Federated Learning with Reputation-aware Incentive Mechanism	Cuihua Zuo, Peihua Xu, Yong Song, Jianfeng Lu, Yuan Cao, Yuanman Li	2025-06-06	Research Square (Research Square)	https://github.com/Sensorjang/RAIM_FedML_experiment_ZCH-master.	https://doi.org/10.21203/rs.3.rs-6548264/v1
21	Secure Multi-Key Homomorphic Encryption with Application to Privacy-Preserving Federated Learning	Jiahui Wu, Tiecheng Sun, Fucai Luo, Haiyan Wang, Weizhe Zhang	2025-06-01	arXiv	https://github.com/JiahuiWu2022/SMHE.git.	https://doi.org/10.48550/arXiv.2506.20101
22	UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data	Sunny Gupta, Nikita Jangid, Amit Sethi	2025-06-01	arXiv	https://github.com/sunnyinAI/UniVarFL	https://doi.org/10.48550/arXiv.2506.08167
23	HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark	Jianqing Zhang, Xinghao Wu, Yanbing Zhou, Xiaoting Sun, Qiqi Cai, Yang Liu, Yang Hua, Zhenzhe Zheng, Jian Cao, Qiang Yan...	2025-06-01	OpenAlex	https://github.com/TsingZ0/HtFLlib.	https://doi.org/10.48550/arXiv.2506.03954
24	Federated Learning Assisted Edge Caching Scheme Based on Lightweight Architecture DDPM	Xun Li, Qiong Wu, Pingyi Fan, Kezhi Wang, Nan Cheng, Khaled B. Letaief	2025-06-01	IEEE Networking Letters	https://github.com/qiongwu86/Federated-Learning-Assisted-Edge-Caching-Scheme-Based-on-Lightweight-Architecture-DDPM	https://doi.org/10.48550/arXiv.2506.04593
25	Federated ADMM from Bayesian Duality	Thomas Möllenhoff, Siddharth Swaroop, Finale Doshi-Velez, Mohammad Emtiyaz Khan	2025-06-01	arXiv	https://github.com/team-approx-bayes/bayes-admm	http://arxiv.org/abs/2506.13150v1
26	FedShield-LLM: A Secure and Scalable Federated Fine-Tuned Large Language Model	Md Jueal Mia, M. Hadi Amini	2025-06-01	arXiv	https://github.com/solidlabnetwork/fedshield-llm	http://arxiv.org/abs/2506.05640v1
27	FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation	Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni	2025-06-01	arXiv	https://github.com/siomvas/FedCLAM.	http://arxiv.org/abs/2506.22580v1
28	Addressing the Collaboration Dilemma in Low-Data Federated Learning via Transient Sparsity	Qiao Xiao, Boqian Wu, Andrey Poddubnyy, Elena Mocanu, Phuong H. Nguyen, Mykola Pechenizkiy, Decebal Constantin Mocanu	2025-06-01	arXiv	https://github.com/QiaoXiao7282/LIPS.	https://doi.org/10.48550/arXiv.2506.00932
29	Latency Optimization for Wireless Federated Learning in Multihop Networks	Shaba Shaon, Van-Dinh Nguyen, Dinh C. Nguyen	2025-06-01	IEEE Transactions on Vehicular Technology	https://github.com/ShabaGit/Multihop_FL	https://doi.org/10.48550/arXiv.2506.12081
30	The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning	Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li	2025-05-01	arXiv	https://github.com/Leopold1423/fedmud-icml25.	https://doi.org/10.48550/arXiv.2505.23176
31	Unlearning for Federated Online Learning to Rank: A Reproducibility Study	Yiling Tao, Shuyi Wang, Jiaxi Yang, Guido Zuccon	2025-05-01	arXiv	https://github.com/Iris1026/Unlearning-for-FOLTR.git.	http://arxiv.org/abs/2505.12791v1
32	Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach	Huazi Pan, Yanjun Zhang, Leo Yu Zhang, Scott D. Adams, Abbas Z. Kouzani, Suiyang Khoo	2025-05-01	arXiv	https://github.com/Halsey777/FedSA	https://doi.org/10.48550/arXiv.2505.16403
33	Multimodal Federated Learning With Missing Modalities through Feature Imputation Network	Pranav Poudel, Aavash Chhetri, Prashnna K. Gyawali, Georgios Leontidis, Binod Bhattarai	2025-05-01	Lecture notes in computer science	https://github.com/bhattarailab/FedFeatGen	https://doi.org/10.1007/978-3-031-98688-8_20
34	Mosaic: Data-Free Knowledge Distillation via Mixture-of-Experts for Heterogeneous Distributed Environments	Junming Liu, Yanting Gao, Siyuan Meng, Yifei Sun, Aoqi Wu, Yufei Jin, Yirong Chen, Ding Wang, Guosun Zeng	2025-05-01	arXiv	https://github.com/Wings-Of-Disaster/Mosaic.	http://arxiv.org/abs/2505.19699v1
35	DP-RTFL: Differentially Private Resilient Temporal Federated Learning for Trustworthy AI in Regulated Industries	Abhijit Talluri	2025-05-01	arXiv	https://github.com/abhitall/federated-credit-risk-rtfl.git	https://doi.org/10.48550/arXiv.2505.23813
36	A Federated Random Forest Solution for Secure Distributed Machine Learning	Alexandre Cotorobai, Jorge Miguel Silva, Jose Luis Oliveira	2025-05-01	arXiv	https://github.com/ieeta-pt/fed_rf.	http://arxiv.org/abs/2505.08085v1
37	Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning	Mengmeng Chen, Xiaohu Wu, Qiqi Liu, Tiantian He, Yew-Soon Ong, Yaochu Jin, Qicheng Lao, Han Yu	2025-05-01	arXiv	https://github.com/buptcmm/phnhvvs	https://doi.org/10.48550/arXiv.2505.20648
38	FedNolowe: A Normalized Loss-Based Weighted Aggregation Strategy for Robust Federated Learning in Heterogeneous Environments	Duy-Dong Le, Nguyen Huynh Tuong, Tran Anh Khoa, Minh-Son Dao, Pham The Bao	2025-04-04	bioRxiv (Cold Spring Harbor Laboratory)	https://github.com/dongld-2020/fednolowe	https://doi.org/10.1101/2025.03.30.646222
39	mixEEG: Enhancing EEG Federated Learning for Cross-subject EEG Classification with Tailored mixup	Xuan-Hao Liu, Bao-Liang Lu, Wei-Long Zheng	2025-04-01	arXiv	https://github.com/XuanhaoLiu/mixEEG.	https://doi.org/10.48550/arXiv.2504.07987
40	Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization	Shuai Gong, Chaoran Cui, Xiaolin Dong, Xiushan Nie, Lei Zhu, Xiaojun Chang	2025-04-01	arXiv	https://github.com/GongShuai8210/TRIP.	http://arxiv.org/abs/2504.21063v1
41	The More is not the Merrier: Investigating the Effect of Client Size on Federated Learning	Eleanor Wallach, Sage Siler, Jing Deng	2025-04-01	arXiv	https://github.com/Eleanor-W/KCI_for_FL.	https://doi.org/10.48550/arXiv.2504.08198
42	Soft-Label Caching and Sharpening for Communication-Efficient Federated Distillation	Kitsuya Azuma, Takayuki Nishio, Yuichi Kitagawa, Wakako Nakano, Takahito Tanimura	2025-04-01	arXiv	https://github.com/kitsuyaazuma/SCARLET.	http://arxiv.org/abs/2504.19602v2
43	Achieving Distributive Justice in Federated Learning via Uncertainty Quantification	Alycia N. Carey, Xintao Wu	2025-04-01	arXiv	https://github.com/alycia-noel/UDJ-FL.	https://doi.org/10.48550/arXiv.2504.15924
44	Federated Spectral Graph Transformers Meet Neural Ordinary Differential Equations for Non-IID Graphs	Kishan Gurumurthy, Himanshu Pal, Charu Sharma	2025-04-01	arXiv	https://github.com/SpringWiz11/Fed-GNODEFormer	http://arxiv.org/abs/2504.11808v1
45	A Study on the Efficiency of Combined Reconstruction and Poisoning Attacks in Federated Learning	Christian Becker, José Antonio Peregrina, Frauke Beccard, Marisa Mohr, Christian Zirpins	2025-03-20	Journal of Data Science and Intelligent Systems	https://github.com/zalandoresearch/fashion-mnist.	https://doi.org/10.47852/bonviewjdsis52023970
46	BTFL: A Bayesian-based Test-Time Generalization Method for Internal and External Data Distributions in Federated learning	Yu Zhou, Bingyan Liu	2025-03-01	OpenAlex	https://github.com/ZhouYuCS/BTFL	https://doi.org/10.48550/arXiv.2503.06633
47	Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients	Xiuwen Fang, Mang Ye, Bo Du	2025-03-01		https://github.com/FangXiuwen/RAHFL.	https://doi.org/10.1109/TPAMI.2025.3527137
48	A Survey on Federated Fine-tuning of Large Language Models	Yebo Wu, Chunlin Tian, Jingguang Li, He Sun, Kahou Tam, Zhanting Zhou, Haicheng Liao, Zhijiang Guo, Li Li, Chengzhong Xu	2025-03-01	arXiv	https://github.com/Clin0212/Awesome-Federated-LLM-Learning	http://arxiv.org/abs/2503.12016v2
49	UltraFlwr -- An Efficient Federated Medical and Surgical Object Detection Framework	Yang Li, Soumya Snigdha Kundu, Maxence Boels, Toktam Mahmoodi, Sebastien Ourselin, Tom Vercauteren, Prokar Dasgupta, Jon...	2025-03-01	arXiv	https://github.com/KCL-BMEIS/UltraFlwr.	http://arxiv.org/abs/2503.15161v1
50	TS-Inverse: A Gradient Inversion Attack Tailored for Federated Time Series Forecasting Models	Caspar Meijer, Jiyue Huang, Shreshtha Sharma, Elena Lazovik, Lydia Y. Chen	2025-03-01	arXiv	https://github.com/Capsar/ts-inverse	http://arxiv.org/abs/2503.20952v1
51	Decentralized Personalization for Federated Medical Image Segmentation via Gossip Contrastive Mutual Learning	Jingyun Chen, Yading Yuan	2025-03-01	arXiv	https://github.com/CUMC-Yuan-Lab/GCML	http://arxiv.org/abs/2503.03883v2
52	Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions	Kasra Borazjani, Payam Abdisarabshali, Naji Khosravan, Seyyedali Hosseinalipour	2025-03-01	arXiv	https://github.com/KasraBorazjani/task-perspective-het	https://doi.org/10.48550/arXiv.2503.14553
53	Federated nnU-Net for Privacy-Preserving Medical Image Segmentation	Grzegorz Skorupko, Fotios Avgoustidis, Carlos Martín-Isla, Lidia Garrucho, Dimitri A. Kessler, Esmeralda Ruiz Pujadas, O...	2025-03-01	arXiv	https://github.com/faildeny/FednnUNet	http://arxiv.org/abs/2503.02549v1
54	Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection	Jiahao Xu, Zikai Zhang, Rui Hu	2025-03-01	2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)	https://github.com/JiiahaoXU/AlignIns.	https://openaccess.thecvf.com/content/CVPR2025/html/Xu_Detecting_Backdoor_Attacks_in_Federated_Learning_via_Direction_Alignment_Inspection_CVPR_2025_paper.html
55	Dynamic Allocation Hypernetwork with Adaptive Model Recalibration for Federated Continual Learning	Xiaoming Qi, Jingyang Zhang, Huazhu Fu, Guanyu Yang, Shuo Li, Yueming Jin	2025-03-01	Information Processing in Medical Imaging(IPMI)2025	https://github.com/jinlab-imvr/FedDAH.	http://arxiv.org/abs/2503.20808v1
56	FAA-CLIP: Federated Adversarial Adaptation of CLIP	Yihang Wu, Ahmad Chaddad, Christian Desrosiers, Tareef Daqqaq, Reem Kateb	2025-03-01	arXiv	https://github.com/AIPMLab/FAA-CLIP.	http://arxiv.org/abs/2503.05776v1
57	Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch	Yijie Liu, Xinyi Shang, Yiqun Zhang, Yang Lu, Chen Gong, Jing-Hao Xue, Hanzi Wang	2025-03-01	arXiv	https://github.com/Jay-Codeman/SAGE	http://arxiv.org/abs/2503.13227v1
58	Fair Federated Medical Image Classification Against Quality Shift via Inter-Client Progressive State Matching	Nannan Wu, Zhuo Kuang, Zengqiang Yan, Ping Wang, Li Yu	2025-03-01	arXiv	https://github.com/wnn2000/FFL4MIA.	http://arxiv.org/abs/2503.09587v1
59	FedVSR: Towards Model-Agnostic Federated Learning in Video Super-Resolution	Ali Mollaahmadi Dehaghi, Hossein KhademSohi, Reza Razavi, Steve Drew, Mohammad Moshirpour	2025-03-01	arXiv	https://github.com/alimd94/FedVSR	https://doi.org/10.48550/arXiv.2503.13745
60	Federated Semantic Learning for Privacy-preserving Cross-domain Recommendation	Ziang Lu, Lei Guo, Xu Yu, Zhiyong Cheng, Xiaohui Han, Lei Zhu	2025-03-01	arXiv	https://github.com/Sapphire-star/FFMSR.	http://arxiv.org/abs/2503.23026v1
61	FLIP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning	Dongping Liao, Xitong Gao, Yabo Xu, Chengzhong Xu	2025-03-01	arXiv	https://github.com/0-ml/flip	http://arxiv.org/abs/2503.22263v1
62	Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning	Yanbiao Ma, Wei Dai, Wenke Huang, Jiayi Chen	2025-03-01	2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)	https://github.com/WeiDai-David/2025CVPR_GGEUR	https://openaccess.thecvf.com/content/CVPR2025/html/Ma_Geometric_Knowledge-Guided_Localized_Global_Distribution_Alignment_for_Federated_Learning_CVPR_2025_paper.html
63	Forgetting Any Data at Any Time: A Theoretically Certified Unlearning Framework for Vertical Federated Learning	Linian Wang, Leye Wang	2025-02-01	arXiv	https://github.com/wangln19/vertical-federated-unlearning.	https://doi.org/10.48550/arXiv.2502.17081
64	FedBM: Stealing Knowledge from Pre-trained Language Models for Heterogeneous Federated Learning	Meilu Zhu, Qiushi Yang, Zhifan Gao, Yixuan Yuan, Jun Liu	2025-02-01	Medical Image Analysis	https://github.com/CUHK-AIM-Group/FedBM.	https://doi.org/10.1016/j.media.2025.103524
65	Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning	Raghav Singhal, Kaustubh Ponkshe, Rohit Vartak, Lav R. Varshney, Praneeth Vepakomma	2025-02-01	arXiv	https://github.com/CERT-Lab/fed-sb.	http://arxiv.org/abs/2502.15436v1
66	PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning	Yu Feng, Yangli-ao Geng, Yifan Zhu, Zongfu Han, Xie Yu, Kaiwen Xue, Haoran Luo, Mengyang Sun, Guangwei Zhang, Meina Song	2025-02-01	OpenAlex	https://github.com/dannis97500/PM-MOE	https://doi.org/10.48550/arXiv.2502.00354
67	A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing	Guannan Lai, Yihui Feng, Xin Yang, Xiaoyu Deng, Hao Yu, Shuyin Xia, Guoyin Wang, Tianrui Li	2025-01-08	arXiv	https://github.com/AIGNLAI/GrBFL.	https://doi.org/10.48550/arXiv.2501.04940
68	Balanced coarse-to-fine federated learning for noisy heterogeneous clients	Longfei Han, Ying Zhai, Yanan Jia, Qiang Cai, Haisheng Li, Xiankai Huang	2025-01-07	Complex & Intelligent Systems	https://github.com/drafly/bcffl.	https://doi.org/10.1007/s40747-024-01694-8
69	Private Federated Learning using Preference-Optimized Synthetic Data	Charlie Hou, Mei-Yu Wang, Yige Zhu, Daniel Lazar, Giulia Fanti	2025-01-01	arXiv	https://github.com/meiyuw/POPri.	https://doi.org/10.48550/arXiv.2504.16438
70	kMoL: an open-source machine and federated learning library for drug discovery	Romeo Cozac, Haris Hasic, Jun Jin Choong, Vincent Richard, Loic Beheshti, Cyrille Froehlich, Takuto Koyama, Shigeyuki Ma...	2025-01-01	Journal of Cheminformatics	https://github.com/elix-tech/kmol	https://doi.org/10.1186/s13321-025-00967-9
71	UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Cross-Hospital Collaboration	Chung-ju Huang, Yuanpeng He, Xiao Han, Wenpin Jiao, Zhi Jin, Leye Wang	2025-01-01	arXiv	https://github.com/Chung-ju/Unitrans	http://arxiv.org/abs/2501.11388v1
72	Uncertainty-Aware Label Refinement on Hypergraphs for Personalized Federated Facial Expression Recognition	Hu Ding, Yan Yan, Yang Lu, Jing-Hao Xue, Hanzi Wang	2025-01-01		https://github.com/mobei1006/AMY.	http://arxiv.org/abs/2501.01816v1
73	UFGraphFR: Graph Federation Recommendation System based on User Text description features	Xudong Wang, Qingbo Hao, Xu Cheng, Yingyuan Xiao	2025-01-01	arXiv	https://github.com/trueWangSyutung/UFGraphFR.	http://arxiv.org/abs/2501.08044v3
74	The Cost of Local and Global Fairness in Federated Learning	Yuying Duan, Gelei Xu, Yiyu Shi, Michael Lemmon	2025-01-01		https://github.com/papersubmission678/The-cost-of-local-and-global-fairness-in-FL	https://proceedings.mlr.press/v258/duan25a.html
75	Subgraph Federated Learning for Local Generalization	Sungwon Kim, Yoonho Lee, Yunhak Oh, Namkyeong Lee, Sukwon Yun, Junseok Lee, Sein Kim, Carl Yang, Chanyoung Park	2025-01-01	ICLR	https://github.com/sung-won-kim/FedLoG	https://openreview.net/forum?id=cH65nS5sOz
76	Stones From Other Hills: Intrusion Detection in Statistical Heterogeneous IoT by Self-Labeled Personalized Federated Learning	Wenting Lu, Ayong Ye, Peixin Xiao, Yuanhuang Liu, Longjing Yang, Donglin Zhu, Zhiquan Liu	2025-01-01	IEEE Internet of Things Journal	https://github.com/deer-echo/SOH-FL.git.	https://doi.org/10.1109/JIOT.2025.3526379
77	SoK: Benchmarking Poisoning Attacks and Defenses in Federated Learning	Heyi Zhang, Yule Liu, Xinlei He, Jun Wu, Tianshuo Cong, Xinyi Huang	2025-01-01	arXiv	https://github.com/vio1etus/FLPoison.	https://doi.org/10.48550/arXiv.2502.03801
78	Robust Federated Learning against Noisy Clients via Masked Optimization	Xuefeng Jiang, Tian Wen, Zhiqin Yang, Lvhua Wu, Yufeng Chen, Sheng Sun, Yuwei Wang, Min Liu	2025-01-01	arXiv	https://github.com/Sprinter1999/MaskedOptim	https://doi.org/10.48550/arXiv.2506.02079
79	Optimized Local Updates in Federated Learning via Reinforcement Learning	Ali Murad, Bo Hui, Wei-Shinn Ku	2025-01-01	arXiv	https://github.com/amuraddd/optimized_client_training.git.	https://doi.org/10.48550/arXiv.2506.06337
80	Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction	Chuanting Zhang, Haixia Zhang, Shuping Dang, Basem Shihada, Mohamed-Slim Alouini	2025-01-01	IEEE Transactions on Cognitive Communications and Networking	https://github.com/chuanting/FedGCC.	https://doi.org/10.48550/arXiv.2501.00732
81	Allosteric Feature Collaboration for Model-Heterogeneous Federated Learning	Baoyao Yang, Pong C. Yuen, Yiqun Zhang, An Zeng	2025-01-01	IEEE Transactions on Neural Networks and Learning Systems	https://github.com/ybaoyao/AlFeCo.	https://doi.org/10.1109/TNNLS.2023.3344084
82	ByzFL: Research Framework for Robust Federated Learning	Marc González, Rachid Guerraoui, Rafael Pinot, Geovani Rizk, John Stephan, François Taïani	2025-01-01	arXiv	https://github.com/LPD-EPFL/byzfl.	https://doi.org/10.48550/arXiv.2505.24802
83	Capture Global Feature Statistics for One-Shot Federated Learning	Zhenzhen Guan, Zhou Yucan, Xiaoyan Gu	2025-01-01	Proceedings of the AAAI Conference on Artificial Intelligence	https://github.com/Yuqin-G/FedCGS.	https://doi.org/10.1609/aaai.v39i16.33862
84	FADngs: Federated Learning for Anomaly Detection	Boyu Dong, Dong Chen, Yu Wu, Siliang Tang, Yueting Zhuang	2025-01-01	IEEE Transactions on Neural Networks and Learning Systems	https://github.com/kanade00/Federated_Anomaly_detection.	https://doi.org/10.1109/TNNLS.2024.3350660
85	FNBench: Benchmarking Robust Federated Learning against Noisy Labels	Xuefeng Jiang, Jia Li, Nannan Wu, Zhiyuan Wu, Xujing Li, Sheng Sun, Gang Xu, Yuwei Wang, Qi Li, Min Liu	2025-01-01	OpenAlex	https://github.com/Sprinter1999/FNBench.	https://doi.org/10.36227/techrxiv.172503083.36644691/v1
86	FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching	Qifan Yan, Andrew Liu, Shiqi He, Mathias Lécuyer, Ivan Beschastnikh	2025-01-01	INFOCOM	https://github.com/DistributedML/FedFetch	https://doi.org/10.1109/INFOCOM55648.2025.11044717
87	FedFitTech: A Baseline in Federated Learning for Fitness Tracking	Zeyneddin Oz, Shreyas Korde, Marius Bock, Kristof Van Laerhoven	2025-01-01	arXiv	https://github.com/adap/flower	https://doi.org/10.48550/arXiv.2506.16840
88	Generalizable Reconstruction for Accelerating MR Imaging via Federated Learning With Neural Architecture Search	Ruoyou Wu, Cheng Li, Juan Zou, Xinfeng Liu, Hairong Zheng, Shanshan Wang	2025-01-01	IEEE Transactions on Medical Imaging	https://github.com/ternencewu123/GAutoMRI.	https://doi.org/10.1109/TMI.2024.3432388
89	GPT-FL: Generative Pre-trained Model-Assisted Federated Learning	Tuo Zhang, Tiantian Feng, Samiul Alam, Dimitrios Dimitriadis, Sunwoo Lee, Mi Zhang, Shrikanth S. Narayanan, Salman Avest...	2025-01-01	CVPR Workshops	https://github.com/AvestimehrResearchGroup/GPT-FL.	https://openaccess.thecvf.com/content/CVPR2025W/FedVision/html/Zhang_GPT-FL_Generative_Pre-trained_Model-Assisted_Federated_Learning_CVPRW_2025_paper.html
90	From continuous pre-training to alignment: A comprehensive toolkit for large language models in federated learning	Zhuo Zhang, Yukun Zhang, Guanzhong Chen, Lizhen Qu, Xun Zhou, Hui Wang, Zenglin Xu	2025-01-01	Neurocomputing	https://github.com/iezhuozhuo/f4llm.	https://doi.org/10.1016/j.neucom.2025.130572
91	Fedgac: optimizing generalization in personalized federated learning via adaptive initialization and strategic client selection	Yichun Yu, Xiaoyi Yang, Zheping Chen, Yuqing Lan, Zhihuan Xing, Dan Yu	2025-01-01	Research Square (Research Square)	https://github.com/buaaYYC/FedGAC.git.	https://doi.org/10.21203/rs.3.rs-4646721/v1
92	Federated Discrete Denoising Diffusion Model for Molecular Generation with OpenFL	Kevin Ta, Patrick Foley, Mattson Thieme, Abhishek Pandey, Prashant Shah	2025-01-01	arXiv	https://github.com/securefederatedai/openfl	http://arxiv.org/abs/2501.12523v1
93	FedKD-hybrid: Federated Hybrid Knowledge Distillation for Lithography Hotspot Detection	Yuqi Li, Xingyou Lin, Kai Zhang, Chuanguang Yang, Zhongliang Guo, Jianping Gou, Yanli Li	2025-01-01	arXiv	https://github.com/itsnotacie/NN-FedKD-hybrid	http://arxiv.org/abs/2501.04066v1
94	FedRTS: Federated Robust Pruning via Combinatorial Thompson Sampling	Hong Huang, Hai Yang, Yuan Chen, Jiaxun Ye, Dapeng Wu	2025-01-01	arXiv	https://github.com/Little0o0/FedRTS	http://arxiv.org/abs/2501.19122v2
95	FedRIR: Rethinking Information Representation in Federated Learning	Yongqiang Huang, Zerui Shao, Ziyuan Yang, Zexin Lu, Yi Zhang	2025-01-01	OpenAlex	https://github.com/Deep-Imaging-Group/FedRIR.	https://doi.org/10.48550/arXiv.2502.00859
96	FedKDC: Consensus-Driven Knowledge Distillation for Personalized Federated Learning in EEG-Based Emotion Recognition	Xihang Qiu, Wanyong Qiu, Ye Zhang, Kun Qian, Chun Guang Li, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto	2025-01-01	IEEE Journal of Biomedical and Health Informatics	https://github.com/wdqdp/FedKDC.	https://doi.org/10.1109/jbhi.2025.3562090
97	Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-Supervised Learning	Sijia Chen, Ningxin Su, Bao-Chun Li	2024-12-27	OpenAlex	https://github.com/TL-System/plato	https://doi.org/10.1109/ICDCS60910.2024.00087
98	SplitFedZip: Learned Compression for Data Transfer Reduction in Split-Federated Learning	Chamani Shiranthika, Hadi Hadizadeh, Parvaneh Saeedi, Ivan V. Bajić	2024-12-18	arXiv	https://github.com/ChamaniS/SplitFedZip	https://doi.org/10.48550/arXiv.2412.17150
99	Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression	Junliang Lyu, Yixuan Zhang, Xiaoling Lu, Feng Zhou	2024-12-14	OpenAlex	https://github.com/JunliangLv/task_diversity_BFL.	https://doi.org/10.48550/arXiv.2412.10897
100	Benchmarking Federated Learning for Semantic Datasets: Federated Scene Graph Generation	SeungBum Ha, Taehwan Lee, Jiyoun Lim, Sung Whan Yoon	2024-12-11	Pattern Recognition Letters	https://github.com/Seung-B/FL-PSG.	https://doi.org/10.1016/j.patrec.2025.07.020
101	One-shot Federated Learning via Synthetic Distiller-Distillate Communication	Junyuan Zhang, Songhua Liu, Xinchao Wang	2024-12-06	NeurIPS	https://github.com/Carkham/FedSD2C	http://papers.nips.cc/paper_files/paper/2024/hash/ba0ad9d1e0c737800b2340b9cd68c208-Abstract-Conference.html
102	FedDW: Distilling Weights through Consistency Optimization in Heterogeneous Federated Learning	Jiayu Liu, Yong Wang, Nianbin Wang, Jing Yang, Xiaohui Tao	2024-12-05	arXiv	https://github.com/liuvvvvv1/FedDW.	https://doi.org/10.48550/arXiv.2412.04521
103	FedAH: Aggregated Head for Personalized Federated Learning	Pengzhan Zhou, Yuepeng He, Yijun Zhai, Kaixin Gao, Chao Chen, Zhida Qin, Chong Zhang, Songtao Guo	2024-12-02	OpenAlex	https://github.com/heyuepeng/FedAH.	https://doi.org/10.1109/swc62898.2024.00068
104	FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction	Yuepeng He, Pengzhan Zhou, Yijun Zhai, Fang Qu, Zhida Qin, Mingyan Li, Songtao Guo	2024-12-01	IEEE Transactions on Cloud Computing	https://github.com/heyuepeng/PFLlibVSP	https://doi.org/10.48550/arXiv.2412.01281
105	BEFL: Balancing Energy Consumption in Federated Learning for Mobile Edge IoT	Zhengyu Ju, Tongquan Wei, Fuke Shen	2024-12-01	arXiv	https://github.com/juzehao/BEFL	https://doi.org/10.48550/arXiv.2412.03950
106	Covariances for Free: Exploiting Mean Distributions for Federated Learning with Pre-Trained Models	Dipam Goswami, Simone Magistri, Kai Wang, Bartłomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer	2024-12-01	arXiv	https://github.com/dipamgoswami/FedCOF.	https://doi.org/10.48550/arXiv.2412.14326
107	DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices	Yongzhe Jia, Xuyun Zhang, Hongsheng Hu, Kim-Kwang Raymond Choo, Lianyong Qi, Xiaolong Xu, Amin Beheshti, Wanchun Dou	2024-12-01	NeurIPS	https://github.com/jyzgh/DapperFL.	http://papers.nips.cc/paper_files/paper/2024/hash/17a1a1439421f1837e10cd612bf92861-Abstract-Conference.html
108	FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning	Minjun Kim, Min‐Jee Kim, Jinhoon Jeong	2024-12-01	arXiv	https://github.com/danny0628/FedCAR.	https://doi.org/10.48550/arXiv.2412.11463
109	Generalising Battery Control in Net-Zero Buildings via Personalised Federated RL	Nicolas M Cuadrado Avila, Samuel Horváth, Martin Takáč	2024-12-01	arXiv	https://github.com/Optimization-and-Machine-Learning-Lab/energy_fed_trpo.git	http://arxiv.org/abs/2412.20946v2
110	Vertical Federated Unlearning via Backdoor Certification	Mengde Han, Tianqing Zhu, Lefeng Zhang, Huan Huo, Wanlei Zhou	2024-12-01	arXiv	https://github.com/mengde-han/VFL-unlearn.	http://arxiv.org/abs/2412.11476v1
111	FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients	Han Liang, Ziwei Zhan, Weijie Liu, Xiaoxi Zhang, Chee Wei Tan, Xu Chen	2024-11-04	Frontiers in artificial intelligence and applications	https://github.com/liangh68/FedReMa.	https://doi.org/10.48550/arXiv.2411.01825
112	Adaptive Client Selection with Personalization for Communication Efficient Federated Learning	Allan M. de Souza, Filipe Maciel, Joahannes B. D. da Costa, Luiz F. Bittencourt, Eduardo Cerqueira, Antonio A. F. Lourei...	2024-11-01	Ad Hoc Networks	https://github.com/AllanMSouza/ACSP-FL	https://doi.org/10.1016/j.adhoc.2024.103462
113	Energy-efficient Federated Learning with Dynamic Model Size Allocation	M. S. Chaitanya Kumar, Sai Satya Narayana J, Yunkai Bao, Xin Wang, Steve Drew	2024-11-01	2021 IEEE International Conference on Big Data (Big Data)	https://github.com/denoslab/CAMA.	https://doi.org/10.1109/BigData62323.2024.10825664
114	FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework	Yuchen He, Chuyun Shen, Xiangfeng Wang, Bo Jin	2024-11-01	arXiv	https://github.com/ycheoo/FPPL.	http://arxiv.org/abs/2411.01904v3
115	Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures	Yicheng Zhang, Zhen Qin, Zhaomin Wu, Jian Hou, Shuiguang Deng	2024-11-01	arXiv	https://github.com/zyc140345/FedAMoLE	http://arxiv.org/abs/2411.19128v3
116	Identify Backdoored Model in Federated Learning via Individual Unlearning	Jiahao Xu, Zikai Zhang, Rui Hu	2024-11-01	2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)	https://github.com/JiiahaoXU/MASA	https://doi.org/10.1109/WACV61041.2025.00773
117	FedSECA: Sign Election and Coordinate-wise Aggregation of Gradients for Byzantine Tolerant Federated Learning	Joseph Geo Benjamin, Mothilal Asokan, Mohammad Yaqub, Karthik Nandakumar	2024-11-01	CVPR Workshops	https://github.com/JosephGeoBenjamin/FedSECA-ByzantineTolerance	https://openaccess.thecvf.com/content/CVPR2025W/FedVision/html/Benjamin_FedSECA_Sign_Election_and_Coordinate-wise_Aggregation_of_Gradients_for_Byzantine_CVPRW_2025_paper.html
118	FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous Vehicles	Yijun Zhai, Pengzhan Zhou, Yuepeng He, Fang Qu, Zhida Qin, Xianlong Jiao, Guiyan Liu, Songtao Guo	2024-11-01	arXiv	https://github.com/yjzhai-cs/FedRAV.	http://arxiv.org/abs/2411.13979v1
119	Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning	Minghui Chen, Meirui Jiang, Xin Zhang, Qi Dou, Zehua Wang, Xiaoxiao Li	2024-10-31	NeurIPS	https://github.com/ubc-tea/Local-Superior-Soups	http://papers.nips.cc/paper_files/paper/2024/hash/24f7b98aef14fcd68acf3c941af1b59e-Abstract-Conference.html
120	Vertical Federated Learning with Missing Features During Training and Inference	Pedro Valdeira, Shiqiang Wang, Yuejie Chi	2024-10-29	arXiv	https://github.com/Valdeira/LASER-VFL.	https://openreview.net/forum?id=OXi1FmHGzz
121	FedCVD: The First Real-World Federated Learning Benchmark on Cardiovascular Disease Data	Yukun Zhang, Guanzhong Chen, Zenglin Xu, Jianyong Wang, Dun Zeng, Junfan Li, Jinghua Wang, Yuan Qi, Irwin King	2024-10-27	arXiv	https://github.com/SMILELab-FL/FedCVD.	https://doi.org/10.48550/arXiv.2411.07050
122	FedStein: Enhancing Multi-Domain Federated Learning Through James-Stein Estimator	Sunny Gupta, Nikita Jangid, Amit Sethi	2024-10-04	arXiv	https://github.com/sunnyinAI/FedStein	https://doi.org/10.48550/arXiv.2410.03499
123	FACMIC: Federated Adaptative CLIP Model for Medical Image Classification	Yihang Wu, Christian Desrosiers, Ahmad Chaddad	2024-10-01	arXiv	https://github.com/AIPMLab/FACMIC.	http://arxiv.org/abs/2410.14707v1
124	PARDON: Privacy-Aware and Robust Federated Domain Generalization	Dung Thuy Nguyen, Taylor T. Johnson, Kevin Leach	2024-10-01	arXiv	https://github.com/judydnguyen/PARDON-FedDG.	http://arxiv.org/abs/2410.22622v2
125	A Unified Solution to Diverse Heterogeneities in One-shot Federated Learning	Jun Bai, Yiliao Song, Di Wu, Atul Sajjanhar, Yong Xiang, Wei Zhou, Xiaohui Tao, Yan Li, Yue Li	2024-10-01	OpenAlex	https://github.com/Jun-B0518/FedHydra.	https://doi.org/10.48550/arXiv.2410.21119
126	Adversarially Guided Stateful Defense Against Backdoor Attacks in Federated Deep Learning	Hassan Ali, Surya Nepal, Salil S. Kanhere, Sanjay Jha	2024-10-01	arXiv	https://github.com/hassanalikhatim/AGSD.	http://arxiv.org/abs/2410.11205v1
127	Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning	Zhilong Li, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Mengmeng Chen, Qiqi Liu, Qicheng Lao, Xiaoxiao Li, Yu Han	2024-10-01	Lecture notes in computer science	https://github.com/Xiaoni-61/DH-Benchmark.	https://doi.org/10.1007/978-3-031-82240-7_6
128	Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views	Xinyue Chen, Yazhou Ren, Jie Xu, Fangfei Lin, Xiaorong Pu, Yang Yang	2024-10-01	arXiv	https://github.com/5Martina5/FMCSC	http://arxiv.org/abs/2410.09484v1
129	DEeR: Deviation Eliminating and Noise Regulating for Privacy-preserving Federated Low-rank Adaptation	Meilu Zhu, Axiu Mao, Jun Liu, Yixuan Yuan	2024-10-01	arXiv	https://github.com/CUHK-AIM-Group/DEeR.	http://arxiv.org/abs/2410.12926v1
130	Deep Domain Isolation and Sample Clustered Federated Learning for Semantic Segmentation	Matthis Manthe, Carole Lartizien, Stefan Duffner	2024-10-01		https://github.com/MatthisManthe/DDI_SCFL	https://doi.org/10.1007/978-3-031-70359-1_22
131	Evaluating Federated Kolmogorov-Arnold Networks on Non-IID Data	Arthur Mendonça Sasse, Claudio Miceli de Farias	2024-10-01	arXiv	https://github.com/artsasse/fedkan	http://arxiv.org/abs/2410.08961v1
132	FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection	Xinting Liao, Weiming Liu, Pengyang Zhou, Fengyuan Yu, Jiahe Xu, Jun Wang, Wenjie Wang, Chaochao Chen, Xiaolin Zheng	2024-10-01	arXiv	https://github.com/XeniaLLL/FOOGD-main.git.	http://arxiv.org/abs/2410.11397v2
133	Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift	Junbao Chen, Jingfeng Xue, Yong Wang, Zhenyan Liu, Xuhui Huang	2024-10-01	NeurIPS	https://github.com/Chen-Junbao/FedCCFA.	http://papers.nips.cc/paper_files/paper/2024/hash/942e820be4aa112509b3a281ff398851-Abstract-Conference.html
134	FedCCRL: Federated Domain Generalization with Cross-Client Representation Learning	Xinpeng Wang, Yongxin Guo, Xiaoying Tang	2024-10-01	arXiv	https://github.com/sanphouwang/fedccrl	http://arxiv.org/abs/2410.11267v4
135	FedCert: Federated Accuracy Certification	Minh Hieu Nguyen, Huu Tien Nguyen, Trung Thanh Nguyen, Manh Duong Nguyen, Trong Nghia Hoang, Truong Thao Nguyen, Phi Le ...	2024-10-01	arXiv	https://github.com/thanhhff/FedCert	http://arxiv.org/abs/2410.03067v1
136	FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Foundation Models	Raghav Singhal, Kaustubh Ponkshe, Praneeth Vepakomma	2024-10-01	arXiv	https://github.com/RaghavSinghal10/fedex-lora.	http://arxiv.org/abs/2410.09432v4
137	Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models	Jun Luo, Chen Chen, Shandong Wu	2024-10-01	arXiv	https://github.com/ljaiverson/pFedMoAP.	http://arxiv.org/abs/2410.10114v4
138	FedGMark: Certifiably Robust Watermarking for Federated Graph Learning	Yuxin Yang, Qiang Li, Yuan Hong, Binghui Wang	2024-10-01	arXiv	https://github.com/Yuxin104/FedGMark.	http://arxiv.org/abs/2410.17533v1
139	FedGraph: A Research Library and Benchmark for Federated Graph Learning	Yuhang Yao, Yuan Li, Xinyi Fan, Junhao Li, Kay Liu, Weizhao Jin, Yu Yang, Srivatsan Ravi, Philip S. Yu, Carlee Joe-Wong	2024-10-01	arXiv	https://github.com/FedGraph/fedgraph	http://arxiv.org/abs/2410.06340v3
140	FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference	Zihan Tan, Guancheng Wan, Wenke Huang, Mang Ye	2024-10-01	arXiv	https://github.com/OakleyTan/FedSSP.	http://arxiv.org/abs/2410.20105v1
141	Federated Black-Box Adaptation for Semantic Segmentation	Jay N. Paranjape, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel	2024-10-01	arXiv	https://github.com/JayParanjape/blackfed	http://arxiv.org/abs/2410.24181v1
142	FedERA: Framework for Federated Learning with Diversified Edge Resource Allocation	Anupam Borthakur, Asim Kumar Manna, Aditya Kasliwal, Dipayan Dewan, Debdoot Sheet	2024-09-17	OpenAlex	https://github.com/anupamkliv/FedERA.	https://doi.org/10.1109/flta63145.2024.10840072
143	Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework	Zilinghan Li, Shilan He, Ze Yang, Minseok Ryu, Kibaek Kim, Ravi K. Madduri	2024-09-17	OpenAlex	https://github.com/APPFL/APPFL.	https://doi.org/10.1109/ccgrid64434.2025.00031
144	Buffer-based Gradient Projection for Continual Federated Learning	Shenghong Dai, Jy-yong Sohn, Yicong Chen, S M Iftekharul Alam, Ravikumar Balakrishnan, Suman Banerjee, Nageen Himayat, K...	2024-09-02	Trans. Mach. Learn. Res.	https://github.com/shenghongdai/Fed-A-GEM.	https://openreview.net/forum?id=Xz5IcOizQ6
145	Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation	Jiahao Xu, Zikai Zhang, Rui Hu	2024-09-02	2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)	https://github.com/JiiahaoXU/LASA	https://doi.org/10.1109/WACV61041.2025.00154
146	Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration	Mahdi Morafah, Vyacheslav Kungurtsev, Hsiao-Yun Chang, Chen Chen, Bill Yuchen Lin	2024-09-01		https://github.com/MMorafah/TAKFL	http://papers.nips.cc/paper_files/paper/2024/hash/e6d1d6195f6f3e32a930643e0ef46332-Abstract-Conference.html
147	FedSlate:A Federated Deep Reinforcement Learning Recommender System	Yongxin Deng, Xihe Qiu, Xiaoyu Tan, Yaochu Jin	2024-09-01	arXiv	https://github.com/TianYaDY/FedSlate	http://arxiv.org/abs/2409.14872v2
148	FedPCL-CDR: A Federated Prototype-based Contrastive Learning Framework for Privacy-Preserving Cross-domain Recommendation	Li Wang, Qiang Wu, Min Xu	2024-09-01	arXiv	https://github.com/Lili1013/FedPCL	http://arxiv.org/abs/2409.03294v2
149	FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning	Xiuhua Lu, Peng Li, Xuefeng Jiang	2024-09-01	arXiv	https://github.com/18sym/FedLF.	http://arxiv.org/abs/2409.12105v1
150	Fed-MUnet: Multi-modal Federated Unet for Brain Tumor Segmentation	Ruojun Zhou, Lisha Qu, Lei Zhang, Ziming Li, Hongwei Yu, Bing Luo	2024-09-01	arXiv	https://github.com/Arnold-Jun/Fed-MUnet.	http://arxiv.org/abs/2409.01020v1
151	FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations	Ziyao Wang, Zheyu Shen, Yexiao He, Guoheng Sun, Hongyi Wang, Lingjuan Lyu, Ang Li	2024-09-01	OpenReview	https://github.com/ATP-1010/FederatedLLM.	https://openreview.net/pdf/fe980ffa952becc26f4181f1ba47b1a2a35fde0d.pdf
152	Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning	Jinglin Liang, Jin Zhong, Hanlin Gu, Zhongqi Lu, Xingxing Tang, Gang Dai, Shuangping Huang, Lixin Fan, Qiang Yang	2024-09-01	arXiv	https://github.com/jinglin-liang/DDDR.	http://arxiv.org/abs/2409.01128v2
153	Demo: FedCampus: A Real-world Privacy-preserving Mobile Application for Smart Campus via Federated Learning & Analytics	Jiaxiang Geng, Beilong Tang, Boyan Zhang, Jiaqi Shao, Bing Luo	2024-08-30	OpenAlex	https://github.com/FedCampus/FedCampus_Flutter.	https://doi.org/10.48550/arXiv.2409.00327
154	VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purification	Yungi Cho, Woorim Han, Miseon Yu, Younghan Lee, Ho Bae, Yunheung Paek	2024-08-28	Lecture notes in computer science	https://github.com/blingcho/VFLIP-esorics24	https://doi.org/10.1007/978-3-031-70903-6_15
155	Understanding Byzantine Robustness in Federated Learning with A Black-box Server	Fangyuan Zhao, Yuexiang Xie, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li	2024-08-12	arXiv	https://github.com/alibaba/FederatedScope	https://doi.org/10.48550/arXiv.2408.06042
156	UniFed: A Universal Federation of a Mixture of Highly Heterogeneous Medical Image Classification Tasks	Atefe Hassani, Islem Rekik	2024-08-01	arXiv	https://github.com/basiralab/UniFed.	http://arxiv.org/abs/2408.07075v2
157	Mobility-Aware Federated Self-supervised Learning in Vehicular Network	Xueying Gu, Qiong Wu, Pingyi Fan, Qiang Fan	2024-08-01	arXiv	https://github.com/qiongwu86/FLSimCo	http://arxiv.org/abs/2408.00256v2
158	Tackling Noisy Clients in Federated Learning with End-to-end Label Correction	Xuefeng Jiang, Sheng Sun, Jia Li, Jingjing Xue, Runhan Li, Zhiyuan Wu, Gang Xu, Yuwei Wang, Min Liu	2024-08-01	OpenAlex	https://github.com/Sprinter1999/FedELC.	https://doi.org/10.48550/arXiv.2408.04301
159	Personalizing Federated Instrument Segmentation with Visual Trait Priors in Robotic Surgery	Jialang Xu, Jiacheng Wang, Lequan Yu, Danail Stoyanov, Yueming Jin, Evangelos B. Mazomenos	2024-08-01	arXiv	https://github.com/wzjialang/PFedSIS.	http://arxiv.org/abs/2408.03208v2
160	Federated User Preference Modeling for Privacy-Preserving Cross-Domain Recommendation	Li Wang, Shoujin Wang, Quangui Zhang, Qiang Wu, Min Xu	2024-08-01	arXiv	https://github.com/Lili1013/FUPM.	http://arxiv.org/abs/2408.14689v1
161	Federated Graph Learning with Structure Proxy Alignment	Xingbo Fu, Zihan Chen, Binchi Zhang, Chen Chen, Jundong Li	2024-08-01	arXiv	https://github.com/xbfu/FedSpray.	http://arxiv.org/abs/2408.09393v1
162	FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation	Philip Schutte, Valentina Corbetta, Regina Beets-Tan, Wilson Silva	2024-08-01	arXiv	https://github.com/Trustworthy-AI-UU-NKI/Federated-Learning-Disentanglement	http://arxiv.org/abs/2408.11701v1
163	DRL-Based Resource Allocation for Motion Blur Resistant Federated Self-Supervised Learning in IoV	Xueying Gu, Qiong Wu, Pingyi Fan, Qiang Fan, Nan Cheng, Wen Chen, Khaled B. Letaief	2024-08-01	arXiv	https://github.com/qiongwu86/DRL-BFSSL	http://arxiv.org/abs/2408.09194v2
164	DRL-Based Federated Self-Supervised Learning for Task Offloading and Resource Allocation in ISAC-Enabled Vehicle Edge Computing	Xueying Gu, Qiong Wu, Pingyi Fan, Nan Cheng, Wen Chen, Khaled B. Letaief	2024-08-01	arXiv	https://github.com/qiongwu86/Federated-SSL-task-offloading-and-resource-allocation	http://arxiv.org/abs/2408.14831v2
165	Centralized and Federated Heart Disease Classification Models Using UCI Dataset and their Shapley-value Based Interpretability	Mario Padilla Rodriguez, Mohamed Nafea	2024-08-01	arXiv	https://github.com/padillma1/Heart-Disease-Classification-on-UCI-dataset-and-Shapley-Interpretability-Analysis.	http://arxiv.org/abs/2408.06183v2
166	FedBChain: A Blockchain-enabled Federated Learning Framework for Improving DeepConvLSTM with Comparative Strategy Insights	Gaoxuan Li, Chern Hong Lim, Qiyao Ma, Xinyu Tang, Hwa Hui Tew, Fan Ding, Xuewen Luo	2024-07-30	2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)	https://github.com/Glen909/FedBChain	https://doi.org/10.1109/smc54092.2024.10831884
167	FlexFL: Heterogeneous Federated Learning via APoZ-Guided Flexible Pruning in Uncertain Scenarios	Zekai Chen, Chentao Jia, Ming Hu, Xiaofei Xie, Anran Li, Mingsong Chen	2024-07-17	IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems	https://github.com/mastlab-T3S/FlexFL	https://doi.org/10.1109/tcad.2024.3444695
168	FedCEA: Efficient Adaptive Personalized Federated Learning based on Critical Learning Periods	Yichun Yu, Xiaoyi Yang, Zheping Chen, Yuqing Lan, Zhihuan Xing, Dan Yu	2024-07-16	Research Square (Research Square)	https://github.com/buaaYYC/FedCEA	https://doi.org/10.21203/rs.3.rs-4630899/v1
169	Distributed Deep Reinforcement Learning Based Gradient Quantization for Federated Learning Enabled Vehicle Edge Computing	Cui Zhang, Wenjun Zhang, Qiong Wu, Pingyi Fan, Qiang Fan, Jiangzhou Wang, Khaled B. Letaief	2024-07-11	IEEE Internet of Things Journal	https://github.com/qiongwu86/Distributed-Deep-Reinforcement-Learning-Based-Gradient	https://doi.org/10.48550/arXiv.2407.08462
170	FedSHE: privacy preserving and efficient federated learning with adaptive segmented CKKS homomorphic encryption	Y. H. Pan, Chao Zheng, Wang He, Jing Yang, Hongjia Li, Wang Liming	2024-07-04	Cybersecurity	https://github.com/yooopan/FedSHE	https://doi.org/10.1186/s42400-024-00232-w
171	PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning	Muhammad Anwar Ma'sum, Mahardhika Pratama, Savitha Ramasamy, Lin Liu, Habibullah Habibullah, Ryszard Kowalczyk	2024-07-01	arXiv	https://github.com/anwarmaxsum/PIP.	http://arxiv.org/abs/2407.20705v1
172	Venomancer: Towards Imperceptible and Target-on-Demand Backdoor Attacks in Federated Learning	Son Nguyen, Thinh Viet Nguyen, Khoa D. Doan, Kok‐Seng Wong	2024-07-01	arXiv	https://github.com/nguyenhongson1902/Venomancer.	https://doi.org/10.48550/arXiv.2407.03144
173	Personalized Federated Continual Learning via Multi-granularity Prompt	Hao Yu, Xin Yang, Xin Gao, Yan Kang, Hao Wang, Junbo Zhang, Tianrui Li	2024-07-01	arXiv	https://github.com/SkyOfBeginning/FedMGP.	http://arxiv.org/abs/2407.00113v1
174	FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging	Kumail Alhamoud, Yasir Ghunaim, Motasem Alfarra, Thomas Hartvigsen, Philip Torr, Bernard Ghanem, Adel Bibi, Marzyeh Ghas...	2024-07-01	arXiv	https://github.com/m1k2zoo/FedMedICL	http://arxiv.org/abs/2407.08822v1
175	Optimizing Age of Information in Vehicular Edge Computing with Federated Graph Neural Network Multi-Agent Reinforcement Learning	Wenhua Wang, Qiong Wu, Pingyi Fan, Nan Cheng, Wen Chen, Jiangzhou Wang, Khaled B. Letaief	2024-07-01	arXiv	https://github.com/qiongwu86/Optimizing-AoI-in-VEC-with-Federated-Graph-Neural-Network-Multi-Agent-Reinforcement-Learning	http://arxiv.org/abs/2407.02342v1
176	Multi-Modal Dataset Creation for Federated Learning with DICOM Structured Reports	Malte Tölle, Lukas Burger, Halvar Kelm, Florian André, Peter Bannas, Gerhard Diller, Norbert Frey, Philipp Garthe, Stefa...	2024-07-01	International Journal of Computer Assisted Radiology and Surgery	https://github.com/Cardio-AI/fl-multi-modal-dataset-creation	https://doi.org/10.1007/s11548-025-03327-y
177	CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities	Pranav Poudel, Prashant Shrestha, Sanskar Amgain, Yash Raj Shrestha, Prashnna K. Gyawali, Binod Bhattarai	2024-07-01	Lecture notes in computer science	https://github.com/bhattarailab/CAR-MFL	https://doi.org/10.1007/978-3-031-72117-5_10
178	Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses	Yuxin Yang, Qiang Li, Jinyuan Jia, Yuan Hong, Binghui Wang	2024-07-01	arXiv	https://github.com/Yuxin104/Opt-GDBA.	http://arxiv.org/abs/2407.08935v1
179	DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations	Guogang Zhu, Xuefeng Liu, Jianwei Niu, Shaojie Tang, Xinghao Wu, Jiayuan Zhang	2024-07-01	ACM Multimedia	https://github.com/GuogangZhu/DualFed.	https://doi.org/10.48550/arXiv.2407.17754
180	F-KANs: Federated Kolmogorov-Arnold Networks	Engin Zeydan, Cristian J. Vaca-Rubio, Luis Blanco, Roberto Pereira, Marius Caus, Abdullah Aydeger	2024-07-01	arXiv	https://github.com/ezeydan/F-KANs.git	http://arxiv.org/abs/2407.20100v3
181	FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels	Malte Tölle, Fernando Navarro, Sebastian Eble, Ivo Wolf, Bjoern Menze, Sandy Engelhardt	2024-07-01	arXiv	https://github.com/Cardio-AI/FUNAvg.	http://arxiv.org/abs/2407.07488v1
182	FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness	Yangyang Xiang, Nannan Wu, Li Yu, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan	2024-07-01	arXiv	https://github.com/HUSTxyy/FedIA.	http://arxiv.org/abs/2407.02280v2
183	FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging	Pranab Sahoo, Ashutosh Tripathi, Sriparna Saha, Samrat Mondal	2024-07-01	arXiv	https://github.com/Pranabiitp/FedMRL	http://arxiv.org/abs/2407.05800v1
184	Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging	Zhipeng Deng, Luyang Luo, Hao Chen	2024-07-01	arXiv	https://github.com/dzp2095/FCU.	http://arxiv.org/abs/2407.02356v1
185	Learning Unlabeled Clients Divergence for Federated Semi-Supervised Learning via Anchor Model Aggregation	Marawan Elbatel, Hualiang Wang, Jixiang Chen, Hao Wang, Xiaomeng Li	2024-07-01	arXiv	https://github.com/xmed-lab/SemiAnAgg.	http://arxiv.org/abs/2407.10327v2
186	A Whole-Process Certifiably Robust Aggregation Method Against Backdoor Attacks in Federated Learning	Anqi Zhou, Yezheng Liu, Yidong Chai, Hongyi Zhu, Xinyue Ge, Yuanchun Jiang, Meng Wang	2024-06-30	arXiv	https://github.com/brick-brick/WPCRAM.	https://doi.org/10.48550/arXiv.2407.00719
187	Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-Rank Decomposition	Xinghao Wu, Xuefeng Liu, Jianwei Niu, Haolin Wang, Shaojie Tang, Guogang Zhu, Hao Su	2024-06-28	ACM Multimedia	https://github.com/XinghaoWu/FedDecomp.	https://doi.org/10.48550/arXiv.2406.19931
188	Communication-efficient Vertical Federated Learning via Compressed Error Feedback	Pedro Valdeira, João Xavier, Cláudia Soares, Yuejie Chi	2024-06-20	IEEE Transactions on Signal Processing	https://github.com/Valdeira/EF-VFL.	https://doi.org/10.23919/eusipco63174.2024.10715377
189	Low-Resource Machine Translation through the Lens of Personalized Federated Learning	Viktor Moskvoretskii, Nazarii Tupitsa, Chris Biemann, Samuel Horváth, Eduard Gorbunov, Irina Nikishina	2024-06-18	OpenAlex	https://github.com/VityaVitalich/MeritOpt.	https://doi.org/10.18653/v1/2024.findings-emnlp.514
190	Synergizing Foundation Models and Federated Learning: A Survey	Shenghui Li, Fanghua Ye, Meng Fang, Jiaxu Zhao, Yun-Hin Chan, Edith C. -H. Ngai, Thiemo Voigt	2024-06-18	arXiv	https://github.com/lishenghui/awesome-fm-fl.	https://doi.org/10.48550/arXiv.2406.12844
191	Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities	F. Wagner, Wentian Xu, Pramit Saha, Ziyun Liang, Daniel Whitehouse, David Menon, Natalie L. Voets, J. Alison Noble, Kons...	2024-06-17	2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)	https://github.com/FelixWag/FL-MultiDisease-MRI	https://doi.org/10.1109/wacv61041.2025.00045
192	FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models	Rui Ye, Rui Ge, Xinyu Zhu, Jingyi Chai, Yaxin Du, Yang Liu, Yanfeng Wang, Siheng Chen	2024-06-07	NeurIPS	https://github.com/rui-ye/FedLLM-Bench.	http://papers.nips.cc/paper_files/paper/2024/hash/c8cdab0e890c59255c27977072fdb0f0-Abstract-Datasets_and_Benchmarks_Track.html
193	FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles	Cyprien Quéméneur, Soumaya Cherkaoui	2024-06-05	arXiv	https://github.com/cyprienquemeneur/fedpylot.	https://doi.org/10.48550/arXiv.2406.03611
194	A Novel Defense Against Poisoning Attacks on Federated Learning: LayerCAM Augmented with Autoencoder	Jingjing Zheng, Xin Yuan, Kai Li, Wei Ni, Eduardo Tovar, Jon Crowcroft	2024-06-02	arXiv	https://github.com/jjzgeeks/LayerCAM-AE	https://doi.org/10.48550/arXiv.2406.02605
195	FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentation	Tong Xia, Abhirup Ghosh, Xinchi Qiu, Cecilia Mascolo	2024-06-01	Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining	https://github.com/XTxiatong/FLea.git.	https://doi.org/10.48550/arXiv.2406.09547
196	FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity	Zhaobin Sun, Nannan Wu, Junjie Shi, Li Yu, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan	2024-06-01	arXiv	https://github.com/szbonaldo/FedMLP.	http://arxiv.org/abs/2406.18995v1
197	Federated Face Forgery Detection Learning with Personalized Representation	Decheng Liu, Zhan Dang, Chunlei Peng, Nannan Wang, Ruimin Hu, Xinbo Gao	2024-06-01	arXiv	https://github.com/GANG370/PFR-Forgery.	http://arxiv.org/abs/2406.11145v1
198	Redefining Contributions: Shapley-Driven Federated Learning	Nurbek Tastan, Samar Fares, Toluwani Aremu, Samuel Horvath, Karthik Nandakumar	2024-06-01	OpenAlex	https://github.com/tnurbek/shapfed.	https://www.ijcai.org/proceedings/2024/554
199	SpaFL: Communication-Efficient Federated Learning with Sparse Models and Low computational Overhead	Minsu Kim, Walid Saad, Merouane Debbah, Choong Seon Hong	2024-06-01	NeurIPS	https://github.com/news-vt/SpaFL_NeruIPS_2024	http://papers.nips.cc/paper_files/paper/2024/hash/9d6d351ba8028a50382f42a065d31bf0-Abstract-Conference.html
200	Pursuing Overall Welfare in Federated Learning through Sequential Decision Making	Seok-Ju Hahn, Gi-Soo Kim, Junghye Lee	2024-05-31	ICML	https://github.com/vaseline555/AAggFF	https://openreview.net/forum?id=foPMkomvk1
201	Share Your Secrets for Privacy! Confidential Forecasting with Vertical Federated Learning	Aditya Shankar, Lydia Y. Chen, Jérémie Decouchant, Dimitra Gkorou, Rihan Hai	2024-05-31	arXiv	https://github.com/adis98/STV	https://doi.org/10.48550/arXiv.2405.20761
202	Federated Learning with Bilateral Curation for Partially Class-Disjoint Data	Ziqing Fan, Ruipeng Zhang, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang	2024-05-29	NeurIPS	https://github.com/MediaBrain-SJTU/FedGELA.git.	http://papers.nips.cc/paper_files/paper/2023/hash/65b721a1df04c1098567f70d483d6468-Abstract-Conference.html
203	Federated Learning under Partially Class-Disjoint Data via Manifold Reshaping	Ziqing Fan, Jiangchao Yao, Ruipeng Zhang, Lingjuan Lyu, Ya Zhang, Yanfeng Wang	2024-05-29	Trans. Mach. Learn. Res.	https://github.com/MediaBrain-SJTU/FedMR.git.	https://openreview.net/forum?id=jLJTqJXAG7
204	FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated Learning	Zihui Wang, Zheng Wang, Lingjuan Lyu, Zhaopeng Peng, Zhicheng Yang, Chenglu Wen, Rongshan Yu, Cheng Wang, Xiaoliang Fan	2024-05-28	Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining	https://github.com/wangzihuixmu/FedSAC.	https://doi.org/10.48550/arXiv.2405.18291
205	Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing	Yongxin Guo, Lin Wang, Xiaoying Tang, Tao Lin	2024-05-25	arXiv	https://github.com/LINs-lab/client2vec	https://doi.org/10.48550/arXiv.2405.16233
206	A GAN-Based Data Poisoning Attack Against Federated Learning Systems and Its Countermeasure	Wei Sun, Bo Gao, Ke Xiong, Yuwei Wang	2024-05-19	arXiv	https://github.com/SSssWEIssSS/VagueGAN-Data-Poisoning-Attack-and-Its-Countermeasure	https://doi.org/10.48550/arXiv.2405.11440
207	Guard-FL: An UMAP-Assisted Robust Aggregation for Federated Learning	Anxiao Song, Haoshuo Li, Ke Cheng, Tao Zhang, Aijing Sun, Yulong Shen	2024-05-10	IEEE Internet of Things Journal	https://github.com/XidianNSS/Guard-FL.git	https://doi.org/10.1109/jiot.2024.3399259
208	A Survey on Contribution Evaluation in Vertical Federated Learning	Yue Cui, Chung-ju Huang, Yuzhu Zhang, Leye Wang, Lixin Fan, Xiaofang Zhou, Qiang Yang	2024-05-03	arXiv	https://github.com/cuiyuebing/VFL_CE	https://doi.org/10.48550/arXiv.2405.02364
209	Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey	Mang Ye, Wei Shen, Bo Du, Eduard Snezhko, Vassili Kovalev, Pong C. Yuen	2024-05-01	ACM Computing Surveys	https://github.com/shentt67/VFL_Survey.	https://doi.org/10.48550/arXiv.2405.17495
210	AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models	Run He, Kai Tong, Di Fang, Handong Sun, Ziqian Zeng, Haoran Li, Tianyi Chen, Huiping Zhuang	2024-05-01	2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)	https://github.com/ZHUANGHP/Analytic-federated-learning.	https://openaccess.thecvf.com/content/CVPR2025/html/He_AFL_A_Single-Round_Analytic_Approach_for_Federated_Learning_with_Pre-trained_CVPR_2025_paper.html
211	Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization	Zhe Li, Bicheng Ying, Zidong Liu, Chaosheng Dong, Haibo Yang	2024-05-01	ICLR	https://github.com/ZidongLiu/DeComFL.	https://openreview.net/forum?id=omrLHFzC37
212	Federated Learning for Time-Series Healthcare Sensing with Incomplete Modalities	Adiba Orzikulova, Jaehyun Kwak, Jaemin Shin, Sung-Ju Lee	2024-05-01	arXiv	https://github.com/AdibaOrz/FLISM.	http://arxiv.org/abs/2405.11828v2
213	Share Secrets for Privacy: Confidential Forecasting with Vertical Federated Learning	Aditya Shankar, Jérémie Decouchant, Dimitra Gkorou, Rihan Hai, Lydia Y. Chen	2024-05-01	Lecture notes in computer science	https://github.com/adis98/STV.	https://doi.org/10.1007/978-3-032-00624-0_18
214	Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning	Xueqing Zhang, Junkai Zhang, Ka-Ho Chow, Juntao Chen, Ying Mao, Mohamed Rahouti, Xiang Li, Yuchen Liu, Wenqi Wei	2024-05-01	arXiv	https://github.com/CathyXueqingZhang/DataPoisoningVis.	https://doi.org/10.48550/arXiv.2405.16707
215	FedSteg: Coverless Steganography‐Based Privacy‐Preserving Decentralized Federated Learning	Mengfan Xu, Yaguang Lin	2024-04-29	IEEJ Transactions on Electrical and Electronic Engineering	https://github.com/Xumeili/FedSteg	https://doi.org/10.1002/tee.24085
216	From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching	Nannan Wu, Zhuo Kuang, Zengqiang Yan, Li Yu	2024-04-27	OpenAlex	https://github.com/wnn2000/FFL4MIA.	https://www.ijcai.org/proceedings/2024/575
217	Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data	Vikhyat Agrawal, Sunil V. Kalmady, Venkataseetharam Manoj Malipeddi, Manisimha Varma Manthena, Weijie Sun, Md Saiful Isl...	2024-04-26	OpenAlex	https://github.com/vikhyatt/Hospital-FL-DP.	https://doi.org/10.48550/arXiv.2405.00725
218	Decentralized Personalized Federated Learning based on a Conditional Sparse-to-Sparser Scheme	Qianyu Long, Qianxing Wang, Christos Anagnostopoulos, Daning Bi	2024-04-24	IEEE Transactions on Neural Networks and Learning Systems	https://github.com/EricLoong/da-dpfl	https://doi.org/10.1109/tnnls.2025.3580277
219	Anti-Byzantine Attacks Enabled Vehicle Selection for Asynchronous Federated Learning in Vehicular Edge Computing	Cui Zhang, Xiao Xu, Qiong Wu, Pingyi Fan, Pingyi Fan, Huiling Zhu, Jiangzhou Wang	2024-04-12	China Communications	https://github.com/giongwu86/By-AFLDDPG	https://doi.org/10.23919/jcc.fa.2023-0718.202408
220	pfl-research: simulation framework for accelerating research in Private Federated Learning	Filip Granqvist, Congzheng Song, Áine Cahill, Rogier van Dalen, Martin Pelikan, Yi Sheng Chan, Xiaojun Feng, Natarajan K...	2024-04-01	NeurIPS	https://github.com/apple/pfl-research.	http://papers.nips.cc/paper_files/paper/2024/hash/4c8c6de56ecdd05e61abcd9e057c6142-Abstract-Datasets_and_Benchmarks_Track.html
221	URVFL: Undetectable Data Reconstruction Attack on Vertical Federated Learning	Duanyi Yao, Songze Li, Xueluan Gong, Sizai Hou, Gaoning Pan	2024-04-01	OpenAlex	https://github.com/duanyiyao/URVFL.	https://www.ndss-symposium.org/ndss-paper/urvfl-undetectable-data-reconstruction-attack-on-vertical-federated-learning/
222	Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning	Tao Liu, Yuhang Zhang, Zhu Feng, Zhiqin Yang, Chen Xu, Dapeng Man, Wu Yang	2024-04-01		https://github.com/PhD-TaoLiu/FCBA.	https://doi.org/10.1609/aaai.v38i19.30131
223	Federated Learning via Input-Output Collaborative Distillation	Xuan Gong, Shanglin Li, Yuxiang Bao, Barry Yao, Yawen Huang, Ziyan Wu, Baochang Zhang, Yefeng Zheng, David S. Doermann	2024-03-24	Proceedings of the AAAI Conference on Artificial Intelligence	https://github.com/lsl001006/FedIOD.	https://doi.org/10.1609/aaai.v38i20.30209
224	CLIP-Guided Federated Learning on Heterogeneity and Long-Tailed Data	Jiangming Shi, Shanshan Zheng, Xiangbo Yin, Lu Yang, Yuan Xie, Yanyun Qu	2024-03-24	Proceedings of the AAAI Conference on Artificial Intelligence	https://github.com/shijiangming1/CLIP2FL.	https://doi.org/10.1609/aaai.v38i13.29416
225	An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning	Jianqing Zhang, Yang Liu, Hua Yang, Jian Cao	2024-03-23	2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)	https://github.com/TsingZ0/FedKTL	https://doi.org/10.1109/cvpr52733.2024.01151
226	Basalt: Server-Client Joint Defense Mechanism for Byzantine-Robust Federated Learning	Anxiao Song, H. Li, Tao Zhang, Ke Cheng, Yulong Shen	2024-03-18	OpenAlex	https://github.com/NSS-01/Basalt-Federated-learning.git.	https://doi.org/10.36227/techrxiv.171073035.50327931/v1
227	FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models	Younghan Lee, Yungi Cho, Woorim Han, Ho Bae, Yunheung Paek	2024-03-05	Lecture notes in computer science	https://github.com/201younghanlee/FLGuard	https://doi.org/10.1007/978-3-031-51482-1_4
228	Towards Optimal Customized Architecture for Heterogeneous Federated Learning with Contrastive Cloud-Edge Model Decoupling	Xingyan Chen, Tian Du, Mu Wang, Tiancheng Gu, Yu Zhao, Gang Kou, Changqiao Xu, Dapeng Oliver Wu	2024-03-01	IEEE Transactions on Computers	https://github.com/elegy112138/FedCMD.	https://doi.org/10.48550/arXiv.2403.02360
229	Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos	Tianyi Zhang, Yu Cao, Dianbo Liu	2024-02-29	arXiv	https://github.com/destiny301/uefl.	https://doi.org/10.48550/arXiv.2402.18888
230	FedKit: Enabling Cross-Platform Federated Learning for Android and iOS	Shen He Shen He, Beilong Tang, Boyan Zhang, Jiaoqi Shao, Xiaomin Ouyang, Daniel Nata Nugraha, Bing Luo	2024-02-16	IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)	https://github.com/FedCampus/FedKit.	https://doi.org/10.1109/INFOCOMWKSHPS61880.2024.10620662
231	FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing	Yongzhe Jia, Xuyun Zhang, Amin Beheshti, Wanchun Dou	2024-02-13	Proceedings of the AAAI Conference on Artificial Intelligence	https://github.com/jyzgh/FedLPS.	https://doi.org/10.1609/aaai.v38i11.29181
232	OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning	Rui Ye, Wenhao Wang, Jingyi Chai, Dihan Li, Zexi Li, Yinda Xu, Yaxin Du, Yanfeng Wang, Siheng Chen	2024-02-10	Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining	https://github.com/rui-ye/OpenFedLLM.	https://doi.org/10.48550/arXiv.2402.06954
233	FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning	Gongxi Zhu, Donghao Li, Hanlin Gu, Yuan Yao, Lixin Fan, Yuxing Han	2024-02-01	2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)	https://github.com/Liar-Mask/FedMIA.	https://openaccess.thecvf.com/content/CVPR2025/html/Zhu_FedMIA_An_Effective_Membership_Inference_Attack_Exploiting_All_for_One_CVPR_2025_paper.html
234	FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning	Jialuo He, Wei Chen, Xiaojin Zhang	2024-02-01	Proceedings of the AAAI Conference on Artificial Intelligence	https://github.com/Gp1g/FedAA.	https://doi.org/10.1609/aaai.v39i16.33878
235	FedSiKD: Clients Similarity and Knowledge Distillation: Addressing Non-i.i.d. and Constraints in Federated Learning	Yousef Alsenani, Rahul Mishra, Khaled R. Ahmed, Atta Ur Rahman	2024-02-01	arXiv	https://github.com/SimuEnv/FedSiKD	https://doi.org/10.48550/arXiv.2402.09095
236	FedGuCci: Making Local Models More Connected in Landscape for Federated Learning	Zexi Li, Jie Lin, Zhiqi Li, Didi Zhu, Tao Shen, Tao Lin, Chao Wu, Nicholas D. Lane	2024-02-01	OpenAlex	https://github.com/ZexiLee/fedgucci	https://doi.org/10.1145/3711896.3737037
237	Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off	Yuecheng Li, Lele Fu, Tong Wang, Jian Lou, Bin Chen, Lei Yang, Jian Shen, Zibin Zheng, Chuan Chen	2024-02-01	arXiv	https://github.com/6lyc/FedCEO_Collaborate-with-Each-Other.	https://doi.org/10.48550/arXiv.2402.07002
238	Federated Learning with New Knowledge: Fundamentals, Advances, and Futures	Lixu Wang, Yang Zhao, Jiahua Dong, Ating Yin, Qinbin Li, Xiao Wang, Dusit Niyato, Qi Zhu	2024-02-01	arXiv	https://github.com/conditionWang/FLNK.	https://doi.org/10.48550/arXiv.2402.02268
239	MetaVers: Meta-Learned Versatile Representations for Personalized Federated Learning	Jin Hyuk Lim, SeungBum Ha, Sung Whan Yoon	2024-01-03	2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)	https://github.com/eepLearning/MetaVers.	https://doi.org/10.1109/wacv57701.2024.00257
240	Hierarchical Federated Learning with Multi-Timescale Gradient Correction	Wenzhi Fang, Dong-Jun Han, Evan Chen, Shiqiang Wang, Christopher G. Brinton	2024-01-01	NeurIPS	https://github.com/wenzhifang/MTGC	http://papers.nips.cc/paper_files/paper/2024/hash/8fb96e8d0fbf591b1fa1ad85653d8417-Abstract-Conference.html
241	Federated Learning with Convex Global and Local Constraints	Chuan He, Le Peng, Ju Sun	2024-01-01	Trans. Mach. Learn. Res.	https://github.com/PL97/Constr_FL	https://openreview.net/forum?id=qItxVbWyfe
242	Federated learning meets remote sensing	Sergio Moreno-Álvarez, Mercedes Eugenia Paoletti, A. J. Sanchez-Fernandez, Juan A. Rico-Gallego, Lirong Han, Juan Mario ...	2024-01-01	Expert Systems with Applications	https://github.com/hpc-unex/FLmeetsRS.	https://doi.org/10.1016/j.eswa.2024.124583
243	Federated learning on non-IID and globally long-tailed data via meta re-weighting networks	Yang Lu, Pinxin Qian, Shanshan Yan, Gang Huang, Yuan Yan Tang	2024-01-01	International Journal of Wavelets Multiresolution and Information Processing	https://github.com/pxqian/FedReN	https://doi.org/10.1142/S0219691323500637
244	Federation-Paced Learning: Towards Efficient Federated Learning with Synchronized Pace	Tingting Zhang, Mei Cao, Zhenge Jia, Jianbo Lu, Zhaoyan Shen, Dongxiao Yu, Mengying Zhao	2024-01-01	Frontiers in artificial intelligence and applications	https://github.com/tnghua/FedPL.	https://doi.org/10.3233/FAIA240722
245	GAS: Generative Activation-Aided Asynchronous Split Federated Learning	Jiarong Yang, Yuan Liu	2024-01-01	Proceedings of the AAAI Conference on Artificial Intelligence	https://github.com/eejiarong/GAS.	https://doi.org/10.48550/arXiv.2409.01251
246	Tackling Data Heterogeneity in Federated Learning via Loss Decomposition	Shuang Zeng, Pengxin Guo, Shuai Wang, Jianbo Wang, Yuyin Zhou, Liangqiong Qu	2024-01-01	Lecture notes in computer science	https://github.com/Zeng-Shuang/FedLD.	https://doi.org/10.1007/978-3-031-72117-5_66
247	Improving Transferability of Network Intrusion Detection in a Federated Learning Setup	Shreya Ghosh, Abu Shafin Mohammad Mahdee Jameel, Aly El Gamal	2024-01-01	OpenAlex	https://github.com/ghosh64/transferability.	https://doi.org/10.1109/icmlcn59089.2024.10624761
248	Multi-Level Additive Modeling for Structured Non-IID Federated Learning	Shutong Chen, Tianyi Zhou, Guodong Long, Jie Ma, Jing Jiang, Chengqi Zhang	2024-01-01	arXiv	https://github.com/shutong043/FeMAM.	https://doi.org/10.48550/arXiv.2405.16472
249	On the Efficiency of Privacy Attacks in Federated Learning	Nawrin Tabassum, Ka-Ho Chow, Xuyu Wang, Wenbin Zhang, Yanzhao Wu	2024-01-01	2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)	https://github.com/mlsysx/EPAFL.	https://doi.org/10.1109/CVPRW63382.2024.00426
250	RoseAgg: Robust Defense Against Targeted Collusion Attacks in Federated Learning	He Yang, Wei Xi, Yuhao Shen, Canhui Wu, Jizhong Zhao	2024-01-01	IEEE Transactions on Information Forensics and Security	https://github.com/SleepedCat/RoseAgg.	https://doi.org/10.1109/TIFS.2024.3352415
251	Selective Aggregation for Low-Rank Adaptation in Federated Learning	Pengxin Guo, Shuang Zeng, Yanran Wang, Huijie Fan, Feifei Wang, Liangqiong Qu	2024-01-01	arXiv	https://github.com/Pengxin-Guo/FedSA-LoRA.	https://openreview.net/forum?id=iX3uESGdsO
252	Federated Fairness Analytics: Quantifying Fairness in Federated Learning	Oscar Dilley, Juan Marcelo Parra Ullauri, Rasheed Hussain, Dimitra Simeonidou	2024-01-01	arXiv	https://github.com/oscardilley/federated-fairness.	https://doi.org/10.48550/arXiv.2408.08214
253	Federated Learning Client Pruning for Noisy Labels	Mahdi Morafah, Hojin Chang, Chen Chen, Bill Lin	2024-01-01		https://github.com/MMorafah/ClipFL.	https://doi.org/10.48550/arXiv.2411.07391
254	PraFFL: A Preference-Aware Scheme in Fair Federated Learning	Rongguang Ye, Wei-Bin Kou, Ming Tang	2024-01-01	OpenAlex	https://github.com/rG223/PraFFL.	https://doi.org/10.48550/arXiv.2404.08973
255	FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning	Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao	2024-01-01	Proceedings of the AAAI Conference on Artificial Intelligence	https://github.com/TsingZ0/FedTGP.	https://doi.org/10.1609/aaai.v38i15.29617
256	FedSheafHN: Personalized Federated Learning on Graph-structured Data	Wenfei Liang, Yanan Zhao, Rui She, Yiming Li, Wee Peng Tay	2024-01-01	arXiv	https://github.com/CarrieWFF/ICML-2024-submission-recording	https://doi.org/10.48550/arXiv.2405.16056
257	Continual Adaptation of Vision Transformers for Federated Learning	Shaunak Halbe, James Seale Smith, Junjiao Tian, Zsolt Kira	2024-01-01	Trans. Mach. Learn. Res.	https://github.com/shaunak27/hepco-fed.	https://openreview.net/forum?id=vsZ5A3Zxyr
258	COALA: A Practical and Vision-Centric Federated Learning Platform	Weiming Zhuang, Jian Xu, Chen Chen, Jingtao Li, Lingjuan Lyu	2024-01-01	ICML	https://github.com/SonyResearch/COALA.	https://openreview.net/forum?id=ATRnM8PyQX
259	BapFL: You can Backdoor Personalized Federated Learning	Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao	2024-01-01	ACM Transactions on Knowledge Discovery from Data	https://github.com/BapFL/code	https://doi.org/10.1145/3649316
260	BM-FL: A Balanced Weight Strategy for Multi-Stage Federated Learning Against Multi-Client Data Skewing	Lixiang Yuan, Mingxing Duan, Guoqing Xiao, Zhuo Tang, Kenli Li	2024-01-01	IEEE Transactions on Knowledge and Data Engineering	https://github.com/ylxzjy/BMFL.git	https://doi.org/10.1109/TKDE.2024.3372708
261	BAFFLE: A Baseline of Backpropagation-Free Federated Learning	Haozhe Feng, Tianyu Pang, Chao‐Hai Du, Wei Chen, Shuicheng Yan, Min Lin	2024-01-01	Lecture notes in computer science	https://github.com/FengHZ/BAFFLE.	https://doi.org/10.1007/978-3-031-73226-3_6
262	Analytic Federated Learning	Huiping Zhuang, Run He, Kai Tong, Di Fang, Han Sun, Haoran Li, Tianyi Chen, Ziqian Zeng	2024-01-01	arXiv	https://github.com/ZHUANGHP/Analytic-federated-learning	https://doi.org/10.48550/arXiv.2405.16240
263	EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning	Jingtao Li, Xing Chen, Li Yang, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti	2024-01-01	Proceedings of the AAAI Conference on Artificial Intelligence	https://github.com/zlijingtao/SFL-MEA	https://doi.org/10.1609/aaai.v38i12.29258
264	Enabling Collaborative Test-Time Adaptation in Dynamic Environment via Federated Learning	Jiayuan Zhang, Xuefeng Liu, Yukang Zhang, Guogang Zhu, Jianwei Niu, Shaojie Tang	2024-01-01	Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining	https://github.com/ZhangJiayuan-BUAA/FedTSA.	https://doi.org/10.1145/3637528.3671908
265	Exploring Vacant Classes in Label-Skewed Federated Learning	Kuangpu Guo, Yuhe Ding, Jian Liang, Ran He, Zilei Wang, Tieniu Tan	2024-01-01	Proceedings of the AAAI Conference on Artificial Intelligence	https://github.com/krumpguo/FedVLS.	https://doi.org/10.1609/aaai.v39i16.33864
266	Exploring Visual Explanations for Defending Federated Learning against Poisoning Attacks	Jingjing Zheng, Kai Li, Xin Yuan, Wei Ni, Eduardo Tovar, Jon Crowcroft	2024-01-01	Proceedings of the 28th Annual International Conference on Mobile Computing And Networking	https://github.com/jjzgeeks/LayerCAM-AE	https://doi.org/10.1145/3636534.3697430
267	A New Federated Learning Framework Against Gradient Inversion Attacks	Pengxin Guo, Shuang Zeng, Wenhao Chen, Xiaodan Zhang, Weihong Ren, Yuyin Zhou, Liangqiong Qu	2024-01-01	Proceedings of the AAAI Conference on Artificial Intelligence	https://github.com/Pengxin-Guo/HyperFL.	https://doi.org/10.48550/arXiv.2412.07187
268	FKD-Med: Privacy-Aware, Communication-Optimized Medical Image Segmentation via Federated Learning and Model Lightweighting Through Knowledge Distillation	Guanqun Sun, Han Shu, Feihe Shao, Teeradaj Racharak, Weikun Kong, Yizhi Pan, Jingjing Dong, Shuang Wang, Le-Minh Nguyen,...	2024-01-01	IEEE Access	https://github.com/SUN-1024/FKD-Med.	https://doi.org/10.1109/ACCESS.2024.3372394
269	FLeNS: Federated Learning with Enhanced Nesterov-Newton Sketch	Sunny Gupta, Mohit Jindal, Pankhi Kashyap, Pranav Jeevan, Amit Sethi	2024-01-01	2021 IEEE International Conference on Big Data (Big Data)	https://github.com/sunnyinAI/FLeNS	https://doi.org/10.1109/BigData62323.2024.10825820
270	Feature Norm Regularized Federated Learning: Utilizing Data Disparities for Model Performance Gains	Ke Hu, Liyao Xiang, Peng Tang, Weidong Qiu	2024-01-01	OpenAlex	https://github.com/LonelyMoonDesert/FNR-FL.	https://www.ijcai.org/proceedings/2024/457
271	Fed3DGS: Scalable 3D Gaussian Splatting with Federated Learning	Teppei Suzuki	2024-01-01	arXiv	https://github.com/DensoITLab/Fed3DGS	https://doi.org/10.48550/arXiv.2403.11460
272	FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting	Shu‐Ling Cheng, Chin-Yuan Yeh, Ting‐An Chen, Eliana Pastor, Ming-Syan Chen⋆	2024-01-01	Proceedings of the AAAI Conference on Artificial Intelligence	https://github.com/celinezheng/fedgcr.	https://doi.org/10.1609/aaai.v38i10.29031
273	FedLF: Layer-Wise Fair Federated Learning	Zibin Pan, Chi Li, Fangchen Yu, Shuyi Wang, Haijin Wang, Xiaoying Tang, Zhao Jun-hua	2024-01-01	Proceedings of the AAAI Conference on Artificial Intelligence	https://github.com/zibinpan/FedLF.	https://doi.org/10.1609/aaai.v38i13.29368
274	FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data	Zikai Xiao, Zihan Chen, Liyinglan Liu, Yang Feng, Jian Wu, Wanlu Liu, Joey Tianyi Zhou, Howard Hao Yang, Zuozhu Liu	2024-01-01	arXiv	https://github.com/ZackZikaiXiao/FedLoGe	https://openreview.net/forum?id=V3j5d0GQgH
275	FedPKR: Federated Learning With Non-IID Data via Periodic Knowledge Review in Edge Computing	Jinbo Wang, Ruijin Wang, Guangquan Xu, Donglin He, Xikai Pei, Fengli Zhang, Jie Gan	2024-01-01	IEEE Transactions on Sustainable Computing	https://github.com/jbwangnb/FedPKR	https://doi.org/10.1109/TSUSC.2024.3374049
276	FedSarah: A Novel Low-Latency Federated Learning Algorithm for Consumer-Centric Personalized Recommendation Systems	Zhiguo Qu, Jian Ding, Rutvij H. Jhaveri, Youcef Djenouri, Xin Ning, Prayag Tiwari	2024-01-01	IEEE Transactions on Consumer Electronics	https://github.com/DashingJ-82/FedSarah.git.	https://doi.org/10.1109/TCE.2023.3342100
277	Detecting Poisoning Attacks on Federated Learning Using Gradient-Weighted Class Activation Mapping	Jingjing Zheng, Kai Li, Xin Yuan, Wei Ni, Eduardo Tovar	2024-01-01	OpenAlex	https://github.com/jjzgeeks/GradCAM-AE	https://doi.org/10.1145/3589335.3651490
278	Disentangling Client Contributions: Improving Federated Learning Accuracy in the Presence of Heterogeneous Data	Chunming Liu, Daniyal M. Alghazzawi, Li Cheng, Gaoyang Liu, Chen Wang, Cheng Zeng, Yang Yang	2023-12-21	ISPA/BDCloud/SocialCom/SustainCom	https://github.com/ChunmingLiu23/FedVa.	https://doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom59178.2023.00082
279	Hypernetwork-Based Physics-Driven Personalized Federated Learning for CT Imaging	Ziyuan Yang, Wenjun Xia, Zexin Lu, Ying-Yu Chen, Xiaoxiao Li, Yi Zhang	2023-12-15	IEEE Transactions on Neural Networks and Learning Systems	https://github.com/Zi-YuanYang/HyperFed.	https://doi.org/10.1109/tnnls.2023.3338867
280	SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks	Peishen Yan, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Ningxin Hu, Mohammad Reza Haghighat, Haibing Guan	2023-12-01	Lecture notes in computer science	https://github.com/KoalaYan/SkyMask.	https://doi.org/10.1007/978-3-031-72655-2_17
281	Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents	Yuqi Jia, Saeed Vahidian, Jingwei Sun, Jianyi Zhang, Vyacheslav Kungurtsev, Neil Zhenqiang Gong, Yiran Chen	2023-12-01	Lecture notes in computer science	https://github.com/FedDG23/FedDG-main.git	https://doi.org/10.1007/978-3-031-73229-4_2
282	Agglomerative Federated Learning: Empowering Larger Model Training via End-Edge-Cloud Collaboration	Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Bo Gao, Quyang Pan, Tianliu He, Xuefeng Jiang	2023-12-01	IEEE INFOCOM 2022 - IEEE Conference on Computer Communications	https://github.com/wuzhiyuan2000/FedAgg.	https://doi.org/10.1109/INFOCOM52122.2024.10621254
283	Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images	Bao Li, Zhenyu Liu, Lizhi Shao, Bensheng Qiu, Hong Bu, Jie Tian	2023-12-01	Proceedings of the AAAI Conference on Artificial Intelligence	https://github.com/boyden/PointTransformerFL	https://doi.org/10.48550/arXiv.2312.06454
284	Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space	Mohsin Hasan, Guojun Zhang, Kaiyang Guo, Xi Chen, Pascal Poupart	2023-12-01	Proceedings of the AAAI Conference on Artificial Intelligence	https://github.com/hasanmohsin/betaPredBayesFL.	https://doi.org/10.48550/arXiv.2312.09817
285	Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning	Reda Khoufache, Mustapha Lebbah, Hanene Azzag, Etienne Goffinet, Djamel Bouchaffra	2023-12-01	Society for Industrial and Applied Mathematics eBooks	https://github.com/redakhoufache/DisCGS.	https://doi.org/10.1137/1.9781611978032.93
286	FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels	Jichang Li, Guanbin Li, Hui Cheng, Zicheng Liao, Yizhou Yu	2023-12-01	Proceedings of the AAAI Conference on Artificial Intelligence	https://github.com/lijichang/FLNL-FedDiv.	https://doi.org/10.48550/arXiv.2312.12263
287	Federated Learning with Extremely Noisy Clients via Negative Distillation	Yang Lu, Lin Chen, Yonggang Zhang, Yiliang Zhang, Bo Han, Yiu-ming Cheung, Hanzi Wang	2023-12-01	Proceedings of the AAAI Conference on Artificial Intelligence	https://github.com/linChen99/FedNed.	https://doi.org/10.48550/arXiv.2312.12703
288	Multimodal Federated Learning with Missing Modality via Prototype Mask and Contrast	Guangyin Bao, Qi Zhang, Duoqian Miao, Zixuan Gong, Liang Hu, Ke Liu, Yang Liu, Chongyang Shi	2023-12-01	arXiv	https://github.com/BaoGuangYin/PmcmFL.	https://doi.org/10.48550/arXiv.2312.13508
289	PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated Learning	Yuting Ma, Yuanzhi Yao, Xiaohua Xu	2023-12-01	Proceedings of the AAAI Conference on Artificial Intelligence	https://github.com/ytingma/PPIDSG.	https://doi.org/10.48550/arXiv.2312.10380
290	FLID: Intrusion Attack and Defense Mechanism for Federated Learning Empowered Connected Autonomous Vehicles (CAVs) Application	Md. Zarif Hossain, Ahmed Imteaj, Saika Zaman, Abdur R. Shahid, Sajedul Talukder, M. Hadi Amini	2023-11-07	OpenAlex	https://github.com/speedlab-git/FLID	https://doi.org/10.1109/dsc61021.2023.10354149
291	FedFusion: Manifold Driven Federated Learning for Multi-satellite and Multi-modality Fusion	DaiXun Li, Weiying Xie, Yunsong Li, Leyuan Fang	2023-11-01	IEEE Transactions on Geoscience and Remote Sensing	https://github.com/LDXDU/FedFusion	https://doi.org/10.48550/arXiv.2311.09540
292	A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective	Xianghua Xie, Chen Hu, Hanchi Ren, Jingjing Deng	2023-11-01	Neurocomputing	https://github.com/Rand2AI/Awesome-Vulnerability-of-Federated-Learning.	https://doi.org/10.1016/j.neucom.2023.127225
293	Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark	Wenke Huang, Mang Ye, Zekun Shi, Guancheng Wan, He Li, Bo Du, Qiang Yang	2023-11-01	IEEE Transactions on Pattern Analysis and Machine Intelligence	https://github.com/WenkeHuang/MarsFL.	https://doi.org/10.1109/TPAMI.2024.3418862
294	Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence	Shu Zheng, Tiandi Ye, Xiang Li, Ming Gao	2023-11-01	ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)	https://github.com/fedcome/fedcome.	https://doi.org/10.1109/ICASSP48485.2024.10446892
295	Scale-MIA: A Scalable Model Inversion Attack against Secure Federated Learning via Latent Space Reconstruction	Shanghao Shi, Ning Wang, Yang Xiao, Chaoyu Zhang, Yi Shi, Y. Thomas Hou, Wenjing Lou	2023-11-01	OpenAlex	https://github.com/unknown123489/Scale-MIA.	https://www.ndss-symposium.org/ndss-paper/scale-mia-a-scalable-model-inversion-attack-against-secure-federated-learning-via-latent-space-reconstruction/
296	Heterogeneous federated collaborative filtering using FAIR: Federated Averaging in Random Subspaces	Aditya Desai, Benjamin Meisburger, Zichang Liu, Anshumali Shrivastava	2023-11-01	arXiv	https://github.com/apd10/FLCF	http://arxiv.org/abs/2311.01722v1
297	Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated Learning	Gergely Dániel Németh, Miguel Ángel Lozano, Novi Quadrianto, Nuria Oliver	2023-11-01	IEEE Access 13 (2025) 40258-40274	https://github.com/ellisalicante/ma-fl-mia	https://doi.org/10.1109/access.2025.3546478
298	Privacy-Preserving Individual-Level COVID-19 Infection Prediction via Federated Graph Learning	Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang	2023-11-01	ACM Trans. Inf. Syst. 42 (2024) 1 - 29	https://github.com/wjfu99/FL-epidemic.	http://arxiv.org/abs/2311.06049v1
299	SGFL: A Federated Learning Approach for Non-IID Data Using Semi-Supervised DCGAN	Alireza Rabiee, Abolfazl Ajdarloo, Mohsen Rahmani	2023-11-01	OpenAlex	https://github.com/apaliray03/SGFL.	https://doi.org/10.1109/iccke60553.2023.10326270
300	Federated learning for diagnosis of age-related macular degeneration	Sina Gholami, Jennifer I. Lim, Theodore Leng, Sally Shin Yee Ong, Atalie Carina Thampson, Minhaj Nur Alam	2023-10-12	bioRxiv (Cold Spring Harbor Laboratory)	https://github.com/QIAIUNCC/FL_UNCC_QIAI.	https://doi.org/10.3389/fmed.2023.1259017
301	Federated Learning and Differential Privacy in AI-Based Surveillance Systems Model	Jason Adiwijaya, Venansius Reynardi Tanaya, Anderies, Andry Chowanda	2023-10-04	OpenAlex	https://github.com/slimmyYer211/RMCS-PPCV_01	https://doi.org/10.1109/icts58770.2023.10330863
302	ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning	Lu Wang, Hao Yu, Jindong Wang, Damien Teney, Haohan Wang, Yao Zhu, Yiqiang Chen, Qiang Yang, Xing Xie, Xiangyang Ji	2023-10-01	Lecture notes in computer science	https://github.com/microsoft/PersonalizedFL	https://doi.org/10.1007/978-3-031-82240-7_2
303	RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial Data Manipulation	Dzung L. Pham, S. H. Kulkarni, Amir Houmansadr	2023-10-01	OpenAlex	https://github.com/dzungvpham/raifle.	https://www.ndss-symposium.org/ndss-paper/raifle-reconstruction-attacks-on-interaction-based-federated-learning-with-adversarial-data-manipulation/
304	Maximum Knowledge Orthogonality Reconstruction with Gradients in Federated Learning	Feng Wang, Senem Velipasalar, Mustafa Cenk Gursoy	2023-10-01	2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)	https://github.com/wfwf10/MKOR.	https://doi.org/10.1109/wacv57701.2024.00384
305	Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition	Sara Pieri, Jose Renato Restom, Samuel Horvath, Hisham Cholakkal	2023-10-01	arXiv	https://github.com/sarapieri/fed_het.git.	http://arxiv.org/abs/2310.15165v1
306	Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization	Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou	2023-10-01	Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing	https://github.com/llm-eff/FedPepTAO.	https://doi.org/10.18653/v1/2023.emnlp-main.488
307	FedNAR: Federated Optimization with Normalized Annealing Regularization	Junbo Li, Ang Li, Chong Tian, Qirong Ho, Eric P. Xing, Hongyi Wang	2023-10-01		https://github.com/ljb121002/fednar	http://arxiv.org/abs/2310.03163v1
308	FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning	Peiran Xu, Zeyu Wang, Jieru Mei, Liangqiong Qu, Alan L. Yuille, Cihang Xie, Yuyin Zhou	2023-10-01	Trans. Mach. Learn. Res.	https://github.com/UCSC-VLAA/FedConv	https://openreview.net/forum?id=bzTfO4mURl
309	FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models	Tao Fan, Yan Kang, Guoqiang Ma, Weijing Chen, Wenbin Wei, Lixin Fan, Qiang Yang	2023-10-01	arXiv	https://github.com/FederatedAI/FATE-LLM	https://doi.org/10.48550/arXiv.2310.10049
310	Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies	Yongxin Guo, Xiaoying Tang, Tao Lin	2023-10-01	ICLR	https://github.com/LINs-lab/HCFL.	https://openreview.net/forum?id=zPDpdk3V8L
311	Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers and Gradient Clipping	Martin Pelikan, Sheikh Shams Azam, Vitaly Feldman, Jan "Honza" Silovsky, Kunal Talwar, Christopher G. Brinton, Tatiana L...	2023-10-01	arXiv	https://github.com/apple/ml-pfl4asr.	http://arxiv.org/abs/2310.00098v2
312	FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things	Samiul Alam, Tuo Zhang, Tiantian Feng, Hui Shen, Zhichao Cao, Dong Zhao, JeongGil Ko, Kiran Somasundaram, Shrikanth S. N...	2023-10-01	arXiv	https://github.com/AIoT-MLSys-Lab/FedAIoT.	https://doi.org/10.48550/arXiv.2310.00109
313	Tackling Intertwined Data and Device Heterogeneities in Federated Learning with Unlimited Staleness	Haoming Wang, Wei Gao	2023-09-01	Proceedings of the AAAI Conference on Artificial Intelligence	https://github.com/pittisl/FL-with-intertwined-heterogeneity.	https://doi.org/10.1609/aaai.v39i20.35405
314	FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning	Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingre...	2023-09-01	Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining	https://github.com/alibaba/FederatedScope	https://doi.org/10.48550/arXiv.2309.00363
315	Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration	Xinghao Wu, Xuefeng Liu, Jianwei Niu, Guogang Zhu, Shaojie Tang	2023-09-01	2021 IEEE/CVF International Conference on Computer Vision (ICCV)	https://github.com/kxzxvbk/Fling.	https://doi.org/10.1109/ICCV51070.2023.01775
316	Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning	Zebang Shen, Jiayuan Ye, A.N.C. Kang, Hamed Hassani, Reza Shokri	2023-09-01	ICLR 2023 poster	1 code implementation	https://openreview.net/pdf/65d25b717d0c0bbcfc88e898afc2ffee03b7d15e.pdf
317	FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler	Zilinghan Li, Pranshu Chaturvedi, Shilan He, Han Chen, Gagandeep Singh, Volodymyr Kindratenko, E. A. Huerta, Kibaek Kim,...	2023-09-01	arXiv	https://github.com/APPFL/FedCompass.	https://openreview.net/forum?id=msXxrttLOi
318	FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization	Qianyu Long, Christos Anagnostopoulos, Shameem Puthiya Parambath, Daning Bi	2023-09-01	2021 IEEE International Conference on Data Mining (ICDM)	https://github.com/EricLoong/feddip.	https://doi.org/10.1109/ICDM58522.2023.00146
319	FedJudge: Federated Legal Large Language Model	Linan Yue, Qi Liu, Yichao Du, Weibo Gao, Ye Liu, Fangzhou Yao	2023-09-01	arXiv	https://github.com/yuelinan/FedJudge.	http://arxiv.org/abs/2309.08173v3
320	Mitigating Adversarial Attacks in Federated Learning with Trusted Execution Environments	Simon Queyrut, Valerio Schiavoni, Pascal Felber	2023-09-01	OpenAlex	https://github.com/queyrusi/Pelta.	https://doi.org/10.1109/ICDCS57875.2023.00069
321	Privacy-preserving Continual Federated Clustering via Adaptive Resonance Theory	Naoki Masuyama, Yusuke Nojima, Yuichiro Toda, Chu Kiong Loo, Hisao Ishibuchi, Naoyuki Kubota	2023-09-01	IEEE Access, vol. 12, pp. 139692-139710, September 2024	https://github.com/Masuyama-lab/FCAC	http://arxiv.org/abs/2309.03487v1
322	Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective	Zhen Qin, Feiyi Chen, Chen Zhi, Xueqiang Yan, Shuiguang Deng	2023-09-01	Proceedings of the AAAI Conference on Artificial Intelligence	https://github.com/zhenqincn/Snowball	https://doi.org/10.48550/arXiv.2309.16456
323	Secure Federated Learning With Fully Homomorphic Encryption for IoT Communications	Neveen Mohammad Hijazi, Moayad Aloqaily, Mohsen Guizani, Bassem Ouni, Fakhri Karray	2023-08-04	IEEE Internet of Things Journal	https://github.com/Artifitialleap-MBZUAI/Secure-Federated-Learning-with-Fully-Homomorphic-Encryption-for-IoT-Communications	https://doi.org/10.1109/jiot.2023.3302065
324	Federated Learning on Patient Data for Privacy-Protecting Polycystic Ovary Syndrome Treatment	Lucia Morris, Tori Qiu, Nikhil Raghuraman	2023-08-01	Neurips 2022 SyntheticData4ML	1 code implementation	https://openreview.net/pdf/e1a42558c9d0898a8634d6e40f0f4b54c0c56310.pdf
325	CEFHRI: A Communication Efficient Federated Learning Framework for Recognizing Industrial Human-Robot Interaction	Umar Khalid, Hasan Iqbal, Saeed Vahidian, Jing Hua, Chen Chen	2023-08-01	2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)	https://github.com/umarkhalidAI/CEFHRI-Efficient-Federated-Learning.	https://doi.org/10.1109/IROS55552.2023.10341467
326	FedPop: Federated Population-based Hyperparameter Tuning	Haokun Chen, Denis Krompass, Jindong Gu, Volker Tresp	2023-08-01	arXiv	https://github.com/HaokunChen245/FedPop	http://arxiv.org/abs/2308.08634v3
327	Generalizable Learning Reconstruction for Accelerating MR Imaging via Federated Neural Architecture Search	Ruoyou Wu, Cheng Li, Juan Zou, Shanshan Wang	2023-08-01	arXiv	https://github.com/ternencewu123/GAutoMRI.	http://arxiv.org/abs/2308.13995v1
328	FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning	Guangyu Sun, Matias Mendieta, Jun Luo, Shandong Wu, Chen Chen	2023-08-01	2021 IEEE/CVF International Conference on Computer Vision (ICCV)	https://github.com/imguangyu/FedPerfix	https://doi.org/10.1109/ICCV51070.2023.00460
329	FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence	Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Ke Xu, Wen Wang, Xuefeng Jiang, Bo Gao, Jinda Lu	2023-08-01	IEEE Transactions on Mobile Computing	https://github.com/wuzhiyuan2000/FedCache.	https://doi.org/10.36227/techrxiv.23255420.v4
330	Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data	Zhuang Qi, Lei Meng, Zitan Chen, Han Hu, Hui Lin, Xiangxu Meng	2023-08-01	ACM Multimedia	https://github.com/qizhuang-qz/FedCSPC.	https://doi.org/10.48550/arXiv.2308.03457
331	ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data	Po‐Chuan Wang, Chen Shen, Weichung Wang, Masahiro Oda, Chiou‐Shann Fuh, Kensaku Mori, Holger R. Roth	2023-08-01	Lecture notes in computer science	https://github.com/NVIDIA/NVFlare	https://doi.org/10.1007/978-3-031-47401-9_30
332	ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations	Xinpeng Ling, Jie Fu, Kuncan Wang, Haitao Liu, Zhili Chen	2023-08-01	OpenAlex	https://github.com/KnightWan/ALI-DPFL.	https://doi.org/10.1109/WoWMoM60985.2024.00062
333	FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack Detection	Naif Alkhunaizi, Koushik Srivatsan, Faris Almalik, Ibrahim Almakky, Karthik Nandakumar	2023-08-01	arXiv	https://github.com/Naiftt/FedSIS	http://arxiv.org/abs/2308.10236v2
334	Physics-Driven Spectrum-Consistent Federated Learning for Palmprint Verification	Ziyuan Yang, Andrew Beng Jin Teoh, Bob Zhang, Lu Leng, Yi Zhang	2023-08-01	International Journal of Computer Vision	https://github.com/Zi-YuanYang/PSFed-Palm.	https://doi.org/10.1007/s11263-024-02077-9
335	Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment	Felix Wagner, Zeju Li, Pramit Saha, Konstantinos Kamnitsas	2023-08-01	Lecture notes in computer science	https://github.com/FelixWag/StarAlign	https://doi.org/10.1007/978-3-031-45676-3_26
336	Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning	Yun-Hin Chan, Rui Zhou, Running Zhao, Zhihan Jiang, Edith C. -H. Ngai	2023-08-01	arXiv	https://github.com/ChanYunHin/InCo-Aggregation	https://openreview.net/forum?id=Cc0qk6r4Nd
337	Understanding the Role of Layer Normalization in Label-Skewed Federated Learning	Guojun Zhang, Mahdi Beitollahi, Alex Bie, Xi Chen	2023-08-01	Trans. Mach. Learn. Res.	https://github.com/huawei-noah/Federated-Learning	https://openreview.net/forum?id=6BDHUkSPna
338	Brain Age Estimation Using Structural MRI: A Clustered Federated Learning Approach	Seyyed Saeid Cheshmi, Abtin Mahyar, Anita Soroush, Zahra Rezvani, Bahar J. Farahani	2023-07-23	OpenAlex	https://github.com/Abtinmy/Clustered-FL-BrainAGE.	https://doi.org/10.1109/coins57856.2023.10189329
339	Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification	Marawan Elbatel, Hualiang Wang, Robert Martí, Huazhu Fu, Xiaomeng Li	2023-07-01	arXiv	https://github.com/xmed-lab/Fed-MAS	http://arxiv.org/abs/2307.14959v1
340	FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy	Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan	2023-07-01	Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining	https://github.com/TsingZ0/FedCP.	https://doi.org/10.48550/arXiv.2307.01217
341	Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging	Meirui Jiang, Yuan Zhong, Anjie Le, Xiaoxiao Li, Qi Dou	2023-07-01	arXiv	https://github.com/med-air/Client-DP-FL.	http://arxiv.org/abs/2307.12542v2
342	A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design	Mahdi Morafah, Weijia Wang, Bill Lin	2023-07-01	IEEE Transactions on Artificial Intelligence	https://github.com/MMorafah/FedZoo-Bench.	https://doi.org/10.48550/arXiv.2307.15245
343	FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation	Ming‐Hui Chen, Meirui Jiang, Qi Dou, Zehua Wang, Xiaoxiao Li	2023-07-01	Lecture notes in computer science	https://github.com/ubc-tea/FedSoup.	https://doi.org/10.1007/978-3-031-43895-0_30
344	Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives	Moming Duan, Qinbin Li, Linshan Jiang, Bingsheng He	2023-07-01	arXiv	https://github.com/morningD/Towards-Open-Federated-Learning-Platforms-Survey	https://doi.org/10.48550/arXiv.2307.02140
345	Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning	Zachary Charles, Nicole Mitchell, Krishna Pillutla, Michael Reneer, Zachary Garrett	2023-07-01	NeurIPS 2023 (Datasets & Benchmarks)	https://github.com/google-research/dataset_grouper	http://arxiv.org/abs/2307.09619v2
346	Heterogeneous Federated Learning: State-of-the-art and Research Challenges	Mang Ye, Xiuwen Fang, Bo Du, Pong C. Yuen, Dacheng Tao	2023-07-01	ACM Computing Surveys	https://github.com/marswhu/HFL_Survey.	https://doi.org/10.48550/arXiv.2307.10616
347	FedALA: Adaptive Local Aggregation for Personalized Federated Learning	Jianqing Zhang, Hua Yang, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan	2023-06-26	Proceedings of the AAAI Conference on Artificial Intelligence	https://github.com/TsingZ0/FedALA.	https://doi.org/10.48550/arXiv.2212.01197
348	Stochastic Clustered Federated Learning	Dun Zeng, Xiangjing Hu, SHIYU LIU, Yue Yu, Hui Wang, Qifan Wang, Zenglin Xu	2023-06-25	FL4Data-Mining Poster	1 code implementation	https://openreview.net/pdf/651da369c542d3ccb16cc3e79c1c05909c4d2860.pdf
349	Personalized Federated Learning with Feature Alignment and Classifier Collaboration	Jian Xu, Xinyi Tong, Shao-Lun Huang	2023-06-01	ICLR 2023 notable top 5%	1 code implementation	https://openreview.net/pdf/7e45d7414cae758349f97df5277f8897ef7b8c04.pdf
350	Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning	Junyi Zhu, Ruicong Yao, Matthew B. Blaschko	2023-06-01	ICML	https://github.com/JunyiZhu-AI/surrogate_model_extension.	https://proceedings.mlr.press/v202/zhu23m.html
351	Masked Autoencoders are Parameter-Efficient Federated Continual Learners	Subarnaduti Paul, Lars-Joel Frey, Roshni Kamath, Kristian Kersting, Martin Mundt	2023-06-01	arXiv	https://github.com/ycheoo/pMAE.	http://arxiv.org/abs/2306.03542v2
352	Medical Federated Model with Mixture of Personalized and Sharing Components	Yawei Zhao, Qinghe Liu, Xinwang Liu, Kunlun He	2023-06-01	arXiv	https://github.com/ApplicationTechnologyOfMedicalBigData/pFedNet-code.	http://arxiv.org/abs/2306.14483v1
353	Improving Federated Aggregation with Deep Unfolding Networks	Shanika I Nanayakkara, Shiva Raj Pokhrel, Gang Li	2023-06-01	arXiv	https://github.com/shanikairoshi/Improved_DUN_basedFL_Aggregation	http://arxiv.org/abs/2306.17362v1
354	Federated Learning of Models Pre-Trained on Different Features with Consensus Graphs	Tengfei Ma, Trong Nghia Hoang, Jie Chen	2023-06-01	Springer optimization and its applications	1 code implementation	https://openreview.net/pdf/62b491564fe57a93617198b023b0a29ed9985a2b.pdf
355	Federated Few-shot Learning	Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li	2023-06-01	arXiv	https://github.com/SongW-SW/F2L.	http://arxiv.org/abs/2306.10234v3
356	FedSelect: Customized Selection of Parameters for Fine-Tuning during Personalized Federated Learning	Rishub Tamirisa, Chulin Xie, Wenxuan Bao, Andy Zhou, Ron Arel, Aviv Shamsian	2023-06-01	arXiv	https://github.com/lapisrocks/fedselect.	https://doi.org/10.1109/CVPR52733.2024.02264
357	FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling	Faris Almalik, Naif Alkhunaizi, Ibrahim Almakky, Karthik Nandakumar	2023-06-01	arXiv	https://github.com/faresmalik/FeSViBS	http://arxiv.org/abs/2306.14638v1
358	Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network	Fan Liu, Siqi Lai, Yansong Ning, Hao Liu	2023-06-01	arXiv	https://github.com/usail-hkust/BkdFedGCN.	http://arxiv.org/abs/2306.10351v1
359	A Client-server Deep Federated Learning for Cross-domain Surgical Image Segmentation	Ronast Subedi, Rebati Raman Gaire, Sharib Ali, Anh‐Tu Nguyen, Danail Stoyanov, Binod Bhattarai	2023-06-01	Lecture notes in computer science	https://github.com/thetna/distributed-da	https://doi.org/10.1007/978-3-031-44992-5_3
360	FedNoisy: Federated Noisy Label Learning Benchmark	Siqi Liang, Jintao Huang, Junyuan Hong, Dun Zeng, Jiayu Zhou, Zenglin Xu	2023-06-01	arXiv	https://github.com/SMILELab-FL/FedNoisy	http://arxiv.org/abs/2306.11650v4
361	Partial Disentanglement with Partially-Federated GANs (PaDPaF)	Abdulla Jasem Almansoori, Samuel Horváth, Martin Takáč	2023-05-15	FLSys 2023	1 code implementation	https://openreview.net/pdf/1ead52c3348026844a31845c2754993bd02d259d.pdf
362	FedAudio: A Federated Learning Benchmark for Audio Tasks	Tuo Zhang, Tiantian Feng, Samiul Alam, Sunwoo Lee, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr	2023-05-05	ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)	https://github.com/zhang-tuo-pdf/FedAudio.	https://doi.org/10.1109/icassp49357.2023.10096500
363	Federated Learning for Internet of Things: A Comprehensive Survey	Ying Li, Qiyang Zhang, Xingwei Wang, Rongfei Zeng, Haodong Li, Ilir Murturi, Schahram Dustdar, Min Huang	2023-05-03	IEEE Communications Surveys & Tutorials	https://github.com/FedML-AI/FedIoT.	https://doi.org/10.1007/978-3-031-50514-0_3
364	Understanding and Improving Model Averaging in Federated Learning on Heterogeneous Data	Tailin Zhou, Zehong Lin, Jun Zhang, Danny H. K. Tsang	2023-05-01	IEEE Transactions on Mobile Computing	https://github.com/TailinZhou/FedIMA.	https://doi.org/10.1109/TMC.2024.3406554
365	Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods	Raphael Poulain, Mirza Farhan Bin Tarek, Rahmatollah Beheshti	2023-05-01	2022 ACM Conference on Fairness, Accountability, and Transparency	https://github.com/healthylaife/FairFedAvg.	https://openreview.net/pdf/c882ede136c30d9a3473e82fea9ec6e1a552c8a8.pdf
366	FedHC: A Scalable Federated Learning Framework for Heterogeneous and Resource-Constrained Clients	Min Zhang, Fuxun Yu, Yongbo Yu, Minjia Zhang, Ang Li, Xiang Chen	2023-05-01	arXiv	https://github.com/if-lab-repository/FedHC.	https://doi.org/10.48550/arXiv.2305.15668
367	Towards Building the Federated GPT: Federated Instruction Tuning	Jianyi Zhang, Saeed Vahidian, Martin Kuo, Chunyuan Li, Ruiyi Zhang, Tong Yu, Yufan Zhou, Guoyin Wang, Yiran Chen	2023-05-01	arXiv	https://github.com/JayZhang42/FederatedGPT-Shepherd	http://arxiv.org/abs/2305.05644v2
368	Confidence-aware Personalized Federated Learning via Variational Expectation Maximization	Junyi Zhu, Xingchen Ma, Matthew B. Blaschko	2023-05-01	2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)	https://github.com/JunyiZhu-AI/confidence_aware_PFL.	https://doi.org/10.1109/CVPR52729.2023.02351
369	FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks	Xinyu Fu, Irwin King	2023-05-01	arXiv	https://github.com/cynricfu/FedHGN	http://arxiv.org/abs/2305.09729v1
370	Federated Conformal Predictors for Distributed Uncertainty Quantification	Charles Lu, Yaodong Yu, Sai Praneeth Karimireddy, Michael I. Jordan, Ramesh Raskar	2023-05-01	arXiv	https://github.com/clu5/federated-conformal.	http://arxiv.org/abs/2305.17564v2
371	Federated Ensemble-Directed Offline Reinforcement Learning	Desik Rengarajan, Nitin Ragothaman, Dileep Kalathil, Srinivas Shakkottai	2023-05-01	arXiv	https://github.com/DesikRengarajan/FEDORA	http://arxiv.org/abs/2305.03097v2
372	Gradient Leakage Defense with Key-Lock Module for Federated Learning	Hanchi Ren, Jingjing Deng, Xianghua Xie, Xiaoke Ma, Jianfeng Ma	2023-05-01	arXiv	https://github.com/Rand2AI/FedKL	https://doi.org/10.48550/arXiv.2305.04095
373	Securing Distributed SGD against Gradient Leakage Threats	Wenqi Wei, Ling Liu, Jingya Zhou, Ka-Ho Chow, Yanzhao Wu	2023-05-01	arXiv	https://github.com/git-disl/Fed-alphaCDP.	http://arxiv.org/abs/2305.06473v1
374	AgrEvader: Poisoning Membership Inference against Byzantine-robust Federated Learning	Yanjun Zhang, Guangdong Bai, M.A.P. Chamikara, Mengyao Ma, Liyue Shen, Jingwei Wang, ‪Surya Nepal‬, Minhui Xue, Long Wan...	2023-04-26	Proceedings of the ACM Web Conference 2022	https://github.com/PrivSecML/AgrEvader.	https://doi.org/10.1145/3543507.3583542
375	Whole-brain radiomics for clustered federated personalization in brain tumor segmentation	Matthis Manthe, Stefan Duffner, Carole Lartizien	2023-04-04	MIDL 2023 Poster	2 code implementations	https://openreview.net/pdf/fd66e6e7b32dbc1a87e2719b719af700ba19e6d5.pdf
376	Federated Cross Learning for Medical Image Segmentation	Xuanang Xu, Hannah H. Deng, Tianyi Chen, Tianshu Kuang, Joshua C. Barber, Daeseung Kim, Jaime Gateno, James J. Xia, Ping...	2023-04-04	MIDL 2023 Poster	1 code implementation	https://openreview.net/pdf/b2ef12ec8e7fe49434fe9e2ff76560aafd280dfa.pdf
377	Scale Federated Learning for Label Set Mismatch in Medical Image Classification	Zhipeng Deng, Luyang Luo, Hao Chen	2023-04-01	Lecture notes in computer science	https://github.com/dzp2095/FedLSM.	https://doi.org/10.1007/978-3-031-43898-1_12
378	Model-based Federated Learning for Accurate MR Image Reconstruction from Undersampled k-space Data	Ruoyou Wu, Cheng Li, Juan Zou, Qiegen Liu, Hairong Zheng, Shanshan Wang	2023-04-01	Computers in Biology and Medicine	https://github.com/ternencewu123/ModFed.	https://doi.org/10.1016/j.compbiomed.2024.108905
379	Asynchronous Federated Continual Learning	Donald Shenaj, Marco Toldo, Alberto Rigon, Pietro Zanuttigh	2023-04-01	arXiv	https://github.com/LTTM/FedSpace.	http://arxiv.org/abs/2304.03626v1
380	Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning	Hangtao Zhang, Zeming Yao, Leo Yu Zhang, Shengshan Hu, Chao Chen, Alan Wee-Chung Liew, Zhetao Li	2023-04-01	OpenAlex	https://github.com/ZhangHangTao/Poisoning-Attack-on-FL.	https://doi.org/10.48550/arXiv.2304.10783
381	EcoFed: Efficient Communication for DNN Partitioning-based Federated Learning	Di Wu, Rehmat Ullah, Philip Rodgers, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese	2023-04-01	IEEE Transactions on Parallel and Distributed Systems	https://github.com/blessonvar/EcoFed.	https://doi.org/10.1109/tpds.2024.3349617
382	Unifying and Personalizing Weakly-supervised Federated Medical Image Segmentation via Adaptive Representation and Aggregation	Li Lin, Jiewei Wu, Yixiang Liu, Kenneth K. Y. Wong, Xiaoying Tang	2023-04-01	arXiv	https://github.com/llmir/FedICRA.	http://arxiv.org/abs/2304.05635v1
383	Federated Incremental Semantic Segmentation	Jiahua Dong, Duzhen Zhang, Yang Cong, Wei Cong, Henghui Ding, Dengxin Dai	2023-04-01	arXiv	https://github.com/JiahuaDong/FISS.	http://arxiv.org/abs/2304.04620v1
384	Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning	Rouzbeh Behnia, Arman Riasi, Reza Ebrahimi, Sherman S. M. Chow, Balaji Padmanabhan, Thang Hoang	2023-04-01	arXiv	https://github.com/vt-asaplab/e-SeaFL.	http://arxiv.org/abs/2304.03841v6
385	Semi-Federated Learning for Collaborative Intelligence in Massive IoT Networks	Wanli Ni, Jingheng Zheng, Hui Tian	2023-03-01	IEEE Internet of Things Journal, 2023	https://github.com/niwanli/SemiFL_IoT.	https://doi.org/10.1109/JIOT.2023.3253853
386	Personalized Federated Learning on Long-Tailed Data via Adversarial Feature Augmentation	Yang Lu, Pinxin Qian, Gang Huang, Hanzi Wang	2023-03-01	ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)	https://github.com/pxqian/FedAFA.	https://doi.org/10.1109/ICASSP49357.2023.10097083
387	No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier	Zexi Li, Xinyi Shang, Rui He, Tao Lin, Chao Wu	2023-03-01	2021 IEEE/CVF International Conference on Computer Vision (ICCV)	https://github.com/ZexiLee/ICCV-2023-FedETF.	https://doi.org/10.1109/ICCV51070.2023.00490
388	Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT	Jiaqi Wang, Shenglai Zeng, Zewei Long, Yaqing Wang, Houping Xiao, Fenglong Ma	2023-03-01	Society for Industrial and Applied Mathematics eBooks	https://github.com/JackqqWang/pfedknow	https://doi.org/10.1137/1.9781611977653.ch56
389	Federated Learning on Virtual Heterogeneous Data with Local-Global Dataset Distillation	Chun-Yin Huang, Ruinan Jin, Can Zhao, Daguang Xu, Xiaoxiao Li	2023-03-01	Trans. Mach. Learn. Res.	https://github.com/ubc-tea/FedLGD.	https://openreview.net/forum?id=QplBL2pV4Z
390	Dealing With Heterogeneous 3D MR Knee Images: A Federated Few-Shot Learning Method With Dual Knowledge Distillation	Xiaoxiao He, Chaowei Tan, Bo Liu, Liping Si, Weiwu Yao, Liang Zhao, Di Liu, Qilong Zhangli, Qi Chang, Kang Li, Dimitris ...	2023-03-01	arXiv	https://github.com/hexiaoxiao-cs/fedml-knee.	http://arxiv.org/abs/2303.14357v2
391	Combating Exacerbated Heterogeneity for Robust Models in Federated Learning	Jianing Zhu, Jiangchao Yao, Tongliang Liu, Quanming Yao, Jianliang Xu, Bo Han	2023-03-01	ICLR 2023 poster	1 code implementation	https://openreview.net/pdf/be55361c7545539cbbf76ba1cb0bf7b7d99ec94e.pdf
392	STDLens: Model Hijacking-Resilient Federated Learning for Object Detection	Ka-Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu	2023-03-01	2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)	https://github.com/git-disl/STDLens.	https://doi.org/10.1109/CVPR52729.2023.01568
393	Machine Unlearning of Federated Clusters	Chao Pan, Jin Sima, Saurav Prakash, Vishal Rana, Olgica Milenkovic	2023-02-01	ICLR 2023 poster	1 code implementation	https://openreview.net/pdf/51ee65b11a32de7ad446a5917d748f9da5399714.pdf
394	Wasserstein Barycenter-based Model Fusion and Linear Mode Connectivity of Neural Networks	Aditya Kumar Akash, Sixu Li, Nicolas Garcia Trillos	2023-02-01	Submitted to ICLR 2023	2 code implementations	https://openreview.net/pdf/c976bff8d9b1d7ea3be0705c506b38a888ed70c4.pdf
395	Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top	Eduard Gorbunov, Samuel Horváth, Peter Richtárik, Gauthier Gidel	2023-02-01	ICLR 2023 poster	3 code implementations	https://openreview.net/pdf/628ed3086a3fa5385dafa18893069cc3b950bc45.pdf
396	Sharper Rates and Flexible Framework for Nonconvex SGD with Client and Data Sampling	Alexander Tyurin, Lukang Sun, Konstantin Pavlovich Burlachenko, Peter Richtárik	2023-02-01	Submitted to ICLR 2023	2 code implementations	https://openreview.net/pdf/b95e6782b7fb5d85e41e2eae52f99947c3d1acac.pdf
397	Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks	Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng	2023-02-01	Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining	https://github.com/alibaba/FederatedScope	https://openreview.nethttps://arxiv.org/pdf/2302.01677.pdf
398	QUIC-FL: : Quick Unbiased Compression for Federated Learning	Ran Ben-Basat, Shay Vargaftik, Amit Portnoy, Gil Einziger, Yaniv Ben-Itzhak, Michael Mitzenmacher	2023-02-01	Submitted to ICLR 2023	3 code implementations	https://openreview.net/pdf/0a1d74a2869a508a120fb5bbbcfdb6c83ec5a2df.pdf
399	No One Left Behind: Real-World Federated Class-Incremental Learning	Jiahua Dong, Hongliu Li, Yang Cong, Gan Sun, Yulun Zhang, Luc Van Gool	2023-02-01	arXiv	https://github.com/JiahuaDong/LGA.	http://arxiv.org/abs/2302.00903v3
400	Single SMPC Invocation DPHelmet: Differentially Private Distributed Learning on a Large Scale	Moritz Kirschte, Sebastian Meiser, Saman Ardalan, Esfandiar Mohammadi	2023-02-01	Submitted to ICLR 2023	5 code implementations	https://openreview.net/pdf/0921241416bae1b4579888cc6c7a2a35dde7862f.pdf
401	Hyperparameter Optimization through Neural Network Partitioning	Bruno Kacper Mlodozeniec, Matthias Reisser, Christos Louizos	2023-02-01	ICLR 2023 poster	2 code implementations	https://openreview.net/pdf/c737a202fd8cca6c64afefee284c5754e3676139.pdf
402	GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting	Kangyang Luo, Xiang Li, Yunshi Lan, Ming Gao	2023-02-01	2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)	https://github.com/lkyddd/GradMA.	https://openreview.net/pdf/3ddb73916e0484231e1a496c4e9df6babb5051c2.pdf

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Federated Learning Papers

Overview

Key Features

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Computing & Systems

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Federated Learning Papers with Code

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