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Data heterogeneity is one of the most challenging issues in federated learning, which motivates a variety of approaches to learn personalized models for participating clients.
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Qiang Yang, Yang Liu, Tianjian Chen, and Yongxin Tong · 2019
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Ditto: Fair and robust federated learning through personalization
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Federated multi-task learning under a mixture of distributions
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