FedNSAM:Consistency of Local and Global Flatness for Federated Learning
arXiv:2602.23827v1 Announce Type: new Abstract: In federated learning (FL), multi-step local updates and data heterogeneity usually lead to sharper global minima, which degrades the performance …
Junkang Liu, Fanhua Shang, Yuxuan Tian, Hongying Liu, Yuanyuan Liu
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