Latency Aware Semi-synchronous Client Selection and Model Aggregation for Wireless Federated Learning

no code implementations • 19 Oct 2022 • Liangkun Yu, Xiang Sun, Rana Albelaihi, Chen Yi

This traditional FL process may suffer from the straggler problem in heterogeneous client settings, where the FL server has to wait for slow clients to upload their local models in each global iteration, thus increasing the overall training time.

Federated Learning