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FedVSSAM: Mitigating Flatness Incompatibility in Sharpness-Aware Federated Learning

FedVSSAM fixes flatness incompatibility in federated sharpness-aware learning via variance-suppressed global directions to boost convergence and generalization.

Bingnan Xiao, Yuan Gao, Bingcong Li, Wei Ni and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 3/5
medium 7/10
strict 2/5