11 citations · 21 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 10 cited
Decentralized Federated Learning: Balancing Communication and Computing Costs
Wei Liu, Li Chen, Wenyi Zhang
Decentralized stochastic gradient descent (SGD) is a driving engine for decentralized federated learning (DFL). The performance of decentralized SGD is jointly influenced by inter-…
cs.LG2019★ 11 cited
Accelerating Federated Learning via Momentum Gradient Descent
Wei Liu, Li Chen, Yunfei Chen +1
Federated learning (FL) provides a communication-efficient approach to solve machine learning problems concerning distributed data, without sending raw data to a central server. Ho…