FedLALR: Client-Specific Adaptive Learning Rates Achieve Linear Speedup for Non-IID Data

Hao Sun, Li Shen, Shixiang Chen +4

Federated learning is an emerging distributed machine learning method, enables a large number of clients to train a model without exchanging their local data. The time cost of comm…