FedDD: Toward Communication-efficient Federated Learning with Differential Parameter Dropout

Zhiying Feng, Xu Chen, Qiong Wu +3

Federated Learning (FL) requires frequent exchange of model parameters, which leads to long communication delay, especially when the network environments of clients vary greatly. M…