most citedTask Placement and Resource Allocation for Edge Machine Learning: A GNN-based Multi-Agent Reinforcement Learning Paradigm

73 citations · 73 across the 2 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2023

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…