J. Aldring

Less is More: Variance-Gated Client Rejection for Faster Convergence in Federated Learning

This paper proposes VGCR-FL, a method that speeds up federated learning by filtering out client updates that deviate strongly from the rest of the cohort. The filter uses a threshold that adapts each round, plus a check on whether the update points in the same direction as the cohort. This keeps useful updates from min...