Xiaoqing Xu

A High-Efficiency Federated Learning Method Using Complementary Pruning for D2D Communication (Student Abstract)

In federated learning, frequent parameter transmission between clients and the server results in significant communication overhead, particularly due to redundancy within the parameters. To address this issue, we propose a Complementary Pruning for Device-to-Device Communication (FedCPD) method. Thi…