No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation

Feilong Zhang, Xianming Liu, Shiyi Lin, Gang Wu, Xiong Zhou, Junjun Jiang, Xiangyang Ji

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