Houchun Ning

FedSD: A New Federated Learning Structure Used in Non-iid Data

One of the most challenging problems in federated learning is the convergence speed problem caused by heterogeneity. We propose a novel structure called FedSD, a new method to accelerate the model convergence. We change the one-stage-cycle iteration structure to a 2-stage-cycle one to get the latest…