12 citations · 25 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 3 cited
Service Delay Minimization for Federated Learning over Mobile Devices
Rui Chen, Dian Shi, Xiaoqi Qin +3
Federated learning (FL) over mobile devices has fostered numerous intriguing applications/services, many of which are delay-sensitive. In this paper, we propose a service delay eff…
cs.LG2021★ 10 cited
Towards Energy Efficient Federated Learning over 5G+ Mobile Devices
Dian Shi, Liang Li, Rui Chen +3
The continuous convergence of machine learning algorithms, 5G and beyond (5G+) wireless communications, and artificial intelligence (AI) hardware implementation hastens the birth o…
cs.LG2020★ 12 cited
To Talk or to Work: Flexible Communication Compression for Energy Efficient Federated Learning over Heterogeneous Mobile Edge Devices
Liang Li, Dian Shi, Ronghui Hou +3
Recent advances in machine learning, wireless communication, and mobile hardware technologies promisingly enable federated learning (FL) over massive mobile edge devices, which ope…