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+date: 2023-07-09
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+Paper *MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation* is accepted by IEEE TNNLS! [[Paper](https://arxiv.org/pdf/2206.08516.pdf)]
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 ##### Safe transfer learning for security
 
+- **[TNNLS'23]** [MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare](https://arxiv.org/pdf/2206.08516.pdf). Yiqiang Chen, Wang Lu, Xin Qin, Jindong Wang , and Xing Xie. 
 - **[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.