FedVSSAM: Mitigating Flatness Incompatibility in Sharpness-Aware Federated Learning
arXiv:2605.09144v1 Announce Type: new
Abstract: Sharpness-aware minimization (SAM) is an effective method for improving the generalization of federated learning (FL) by steering local training toward flat minima. Under data heterogeneity, however, dev…