most citedAddressing Class Variable Imbalance in Federated Semi-supervised Learning

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

collaborators

2 papers

cs.LG2023★ 2 cited

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…