most citedFedRFQ: Prototype-Based Federated Learning with Reduced Redundancy, Minimal Failure, and Enhanced Quality

22 citations · 22 across the 1 of their papers we have counts for

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cs.DC2024★ 22 cited

FedRFQ: Prototype-Based Federated Learning with Reduced Redundancy, Minimal Failure, and Enhanced Quality

Biwei Yan, Hongliang Zhang, Minghui Xu +2

Federated learning is a powerful technique that enables collaborative learning among different clients. Prototype-based federated learning is a specific approach that improves the…