FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning

Nam Hyeon-Woo, Moon Ye-Bin, Tae-Hyun Oh

In this work, we propose a communication-efficient parameterization, FedPara, for federated learning (FL) to overcome the burdens on frequent model uploads and downloads. Our metho…