25 citations · 27 across the 5 of their papers we have counts for
5 papers · 1 filter
A Multi-User Effective Computation Offloading Mechanism for MEC System: Batched Multi-Armed Bandits Approach
Hangfan Li, Xiaoxiong Zhong, Xinghan Wang +2
With the development of 5G technology, mobile edge computing (MEC) is becoming a useful architecture, which is envisioned as a cloud computing extension version. Users within MEC s…
Two-Stage Coded Distributed Edge Learning: A Dynamic Partial Gradient Coding Perspective
Tingting Yang, Xinghan Wang, Jiahong Ning +1
The widespread adoption of distributed learning to train a global model from local data has been hindered by the challenge posed by stragglers. Recent attempts to mitigate this iss…
CFLMEC: Cooperative Federated Learning for Mobile Edge Computing
Xinghan Wang, Xiaoxiong Zhong, Yuanyuan Yang +1
We investigate a cooperative federated learning framework among devices for mobile edge computing, named CFLMEC, where devices co-exist in a shared spectrum with interference. Keep…
A Parallel Optimal Task Allocation Mechanism for Large-Scale Mobile Edge Computing
Xiaoxiong Zhong, Xinghan Wang, Yuanyuan Yang +3
We consider the problem of intelligent and efficient task allocation mechanism in large-scale mobile edge computing (MEC), which can reduce delay and energy consumption in a parall…
CL-ADMM: A Cooperative Learning Based Optimization Framework for Resource Management in MEC
Xiaoxiong Zhong, Xinghan Wang, Li Li +5
We consider the problem of intelligent and efficient resource management framework in mobile edge computing (MEC), which can reduce delay and energy consumption, featuring distribu…