1 citations · 1 across the 2 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.LG2023
Addressing Class Variable Imbalance in Federated Semi-supervised Learning
Zehui Dong, Wenjing Liu, Siyuan Liu +1
Federated Semi-supervised Learning (FSSL) combines techniques from both fields of federated and semi-supervised learning to improve the accuracy and performance of models in a dist…
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…