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FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization

Hao Zhang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong. FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 41314-41330, PMLR, 2023. [doi]

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