7 citations · 19 across the 7 of their papers we have counts for
Showing cs.DCShow all
3 papers · 1 filter
cs.DC2023★ 4 cited
Joint Client Assignment and UAV Route Planning for Indirect-Communication Federated Learning
Jieming Bian, Cong Shen, Jie Xu
Federated Learning (FL) is a machine learning approach that enables the creation of shared models for powerful applications while allowing data to remain on devices. This approach…
cs.DC2023
Federated Learning via Indirect Server-Client Communications
Jieming Bian, Cong Shen, Jie Xu
Federated Learning (FL) is a communication-efficient and privacy-preserving distributed machine learning framework that has gained a significant amount of research attention recent…
cs.DC2022
On the Convergence of Multi-Server Federated Learning with Overlapping Area
Zhe Qu, Xingyu Li, Jie Xu +3
Multi-server Federated learning (FL) has been considered as a promising solution to address the limited communication resource problem of single-server FL. We consider a typical mu…