Personalized Federated Learning with Moreau Envelopes

16 Jun 2020Canh T. DinhNguyen H. TranTuan Dung Nguyen

Federated learning (FL) is a decentralized and privacy-preserving machine learning technique in which a group of clients collaborate with a server to learn a global model without sharing clients' data. One challenge associated with FL is statistical diversity among clients, which restricts the global model from delivering good performance on each client's task... (read more)

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