Scaff-PD: Communication Efficient Fair and Robust Federated Learning

We present Scaff-PD, a fast and communication-efficient algorithm for distributionally robust federated learning. Our approach improves fairness by optimizing a family of distributionally robust objectives tailored to heterogeneous clients. We leverage the special structure of these objectives, and...

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Bibliographische Detailangaben

Hauptverfasser:	Yu, Yaodong, Karimireddy, Sai Praneeth, Ma, Yi, Jordan, Michael I
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Distributed, Parallel, and Cluster Computing Computer Science - Learning Mathematics - Optimization and Control Statistics - Machine Learning
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