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Moreau envelopes-based personalized asynchronous federated learning: improving practicality in distributed machine learning

As’ad, Anwar Munther (2023)

Federated learning is a promising approach for training models on distributed data, driven by increasing demand in various industries. However, it faces several challenges, including communication bottlenecks and client ...