Distribution-Aware Weight Compression for Federated Averaging Learning Over Wireless Edge Networks

Recently, federated learning (FL) over wireless edge networks has aroused much research interest due to its merits in mitigating the privacy risks. On the basis of the standard FL, a federated averaging (FedAvg) learning algorithm emerges to reduce the communication rounds between the edge nodes and the central server. Even though the number of communication rounds of FedAvg learning is significan...