3 citations · 4 across the 2 of their papers we have counts for
4 papers
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…
Towards Efficient Scheduling of Federated Mobile Devices under Computational and Statistical Heterogeneity
Cong Wang, Yuanyuan Yang, Pengzhan Zhou
Originated from distributed learning, federated learning enables privacy-preserved collaboration on a new abstracted level by sharing the model parameters only. While the current r…
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…