Faster Rates for Compressed Federated Learning with Client-Variance Reduction

Haoyu Zhao, Konstantin Burlachenko, Zhize Li +1

Due to the communication bottleneck in distributed and federated learning applications, algorithms using communication compression have attracted significant attention and are wide…