add: 1 paper

_bibliography/pubs.bib

@@ -79,6 +79,19 @@ @inproceedings{chen2023freematch
   website={https://openreview.net/forum?id=Q84s1buSmg8}
 }
 
+@article{lu2023fedclip,
+  title={FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning},
+  author={Lu, Wang and Hu, Xixu and Wang, Jindong and Xie, Xing},
+  journal={IEEE Data Engineering Bulletin},
+  year={2023},
+  volume       = {46},
+  number       = {1},
+  pages        = {52--66},
+  arxiv={https://arxiv.org/abs/2302.13485v1},
+  corr={true},
+  code={https://github.com/microsoft/PersonlizedFL},
+}
+
 @inproceedings{wang2023robustness,
   title={On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective},
   author={Wang, Jindong and Hu, Xixu and Hou, Wenxin and Chen, Hao and Zheng, Runkai and Wang, Yidong and Yang, Linyi and Huang, Haojun and Ye, Wei and Geng, Xiubo and Jiao, Binxin and Zhang, Yue and Xie, Xing},
@@ -101,16 +114,7 @@ @inproceedings{lu2023towards
   corr={true}
 }
 
-@inproceedings{lu2023fedclip,
-  title={FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning},
-  author={Lu, Wang and Hu, Xixu and Wang, Jindong and Xie, Xing},
-  booktitle={ICLR workshop on Trustworthy and Reliable Large-Scale Machine Learning Models (ICLR 2023 workshop)},
-  year={2023},
 
-  arxiv={https://arxiv.org/abs/2302.13485v1},
-  corr={true},
-  code={https://github.com/microsoft/PersonlizedFL},
-}
 
 @article{li2023mutual,
   title={A mutual learning framework for pruned and quantized networks},

_pages/research.md

@@ -58,6 +58,7 @@ Our research consists of the following topics with selected publications: [[View
 ##### Safe transfer learning for security
 
 - **[ICSE'22]** [ReMoS: Reducing Defect Inheritance in Transfer Learning via Relevant Model Slicing](https://jd92.wang/assets/files/icse22-remos.pdf). Ziqi Zhang, Yuanchun Li, Jindong Wang, Bingyan Liu, Ding Li, Xiangqun Chen, Yao Guo, and Yunxin Liu.
+- **[IEEE Data Engineering Bulletin'23]** FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning. Wang Lu, Xixu Hu, Jindong Wang, Xing Xie. [[arxiv](https://arxiv.org/abs/2302.13485)]
 - **[IEEE TBD'22]** [Personalized Federated Learning with Adaptive Batchnorm for Healthcare](https://arxiv.org/abs/2112.00734). Wang Lu, Jindong Wang, Yiqiang Chen, Xin Qin, Renjun Xu, Dimitrios Dimitriadis, and Tao Qin.
 - **[TKDE'22]** [Unsupervised deep anomaly detection for multi-sensor time-series signals](https://arxiv.org/abs/2107.12626). Yuxin Zhang, Yiqiang Chen, Jindong Wang, and Zhiwen Pan.
 - **[IntSys'22, 400+ citations]** [Fedhealth: A federated transfer learning framework for wearable healthcare](https://ieeexplore.ieee.org/document/9076082). Yiqiang Chen, Xin Qin, Jindong Wang, Chaohui Yu, and Wen Gao.