Federated learning suffers from a latency bottleneck induced by network stragglers, which
hampers the training efficiency significantly. In addition, due to the heterogeneous data …

Existing approaches to address non-iid data in federated learning are often tailored to
specific types of heterogeneity and may lack generalizability to all scenarios. In this paper …