FedeRage: Provably convergent agnostic federated learning under general client drift
Read the original at arxiv.org→arXiv:2609.21057v1 Announce Type: new Abstract: Federated learning (FL) enables collaborative model training without sharing raw data, but its performance degrades under non-IID data and stochastic client...
Original headline: "FedeRage: Provably Convergent Agnostic Federated Learning under General Client Drift"
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- Sep 21, 04:00 UTC arXiv cs.LG lead source FedeRage: Provably Convergent Agnostic Federated Learning under General Client Drift