${\hat{I}}^3$-FedHT: Stepsize-Aware Hard-Threshold Gradient Compression in Federated Learning

Rongwei Lu, Yutong Jiang, Jinrui Zhang +4

Gradient compression can effectively alleviate communication bottlenecks in Federated Learning (FL). Contemporary state-of-the-art sparse compressors, such as Top-$k$, exhibit high…