VARS-FL: Validation-Aligned Client Selection for Non-IID Federated Learning in IoT Systems

arXiv:2605.05896v1 Announce Type: cross Abstract: Federated learning (FL) systems typically employ stateless client selection, treating each communication round independently and ignoring accumulated evidence of client contribution quality. Under non-IID data, this leads to slow convergence and...