5 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.DC2023★ 1 cited
Theoretical Analysis of Impact of Delayed Updates on Decentralized Federated Learning
Yong Zeng, Siyuan Liu, Zhiwei Xu +1
Decentralized Federated learning is a distributed edge intelligence framework by exchanging parameter updates instead of training data among participators, in order to retrain or f…
cs.LG2022
Enhanced Decentralized Federated Learning based on Consensus in Connected Vehicles
Xiaoyan Liu, Zehui Dong, Zhiwei Xu +2
Advanced researches on connected vehicles have recently targeted to the integration of vehicle-to-everything (V2X) networks with Machine Learning (ML) tools and distributed decisio…
cs.LG2021★ 5 cited
A Discrete-event-based Simulator for Distributed Deep Learning
Xiaoyan Liu, Zhiwei Xu, Yana Qin +1
New intelligence applications are driving increasing interest in deploying deep neural networks (DNN) in a distributed way. To set up distributed deep learning involves alterations…