4 citations · 7 across the 5 of their papers we have counts for
5 papers
Accelerating Federated Edge Learning via Topology Optimization
Shanfeng Huang, Zezhong Zhang, Shuai Wang +2
Federated edge learning (FEEL) is envisioned as a promising paradigm to achieve privacy-preserving distributed learning. However, it consumes excessive learning time due to the exi…
Reconfigurable Intelligent Surface Assisted Edge Machine Learning
Shanfeng Huang, Shuai Wang, Rui Wang +2
The ever-growing popularity and rapid improving of artificial intelligence (AI) have raised rethinking on the evolution of wireless networks. Mobile edge computing (MEC) provides a…
Reconfigurable Intelligent Surface Assisted Mobile Edge Computing with Heterogeneous Learning Tasks
Shanfeng Huang, Shuai Wang, Rui Wang +2
The ever-growing popularity and rapid improving of artificial intelligence (AI) have raised rethinking on the evolution of wireless networks. Mobile edge computing (MEC) provides a…
Scheduling for Mobile Edge Computing with Random User Arrivals: An Approximate MDP and Reinforcement Learning Approach
Shanfeng Huang, Bojie Lv, Rui Wang +1
In this paper, we investigate the scheduling design of a mobile edge computing (MEC) system, where active mobile devices with computation tasks randomly appear in a cell. Every tas…
MDP-Based Scheduling Design for Mobile-Edge Computing Systems with Random User Arrival
Shanfeng Huang, Bojie Lv, Rui Wang
In this paper, we investigate the scheduling design of a mobile-edge computing (MEC) system, where the random arrival of mobile devices with computation tasks in both spatial and t…