Adaptive Control of Client Selection and Gradient Compression for Efficient Federated Learning

Zhida Jiang, Yang Xu, Hongli Xu +2

Federated learning (FL) allows multiple clients cooperatively train models without disclosing local data. However, the existing works fail to address all these practical concerns i…