17 citations · 30 across the 5 of their papers we have counts for
6 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…
CROR: Coding-Aware Opportunistic Routing in Multi-Channel Cognitive Radio Networks
Xiaoxiong Zhong, Yang Qin, Yuanyuan Yang +1
Cognitive radio (CR) is a promising technology to improve spectrum utilization. However, spectrum availability is uncertain which mainly depends on primary user's (PU's) behaviors.…
Joint Channel Assignment and Opportunistic Routing for Maximizing Throughput in Cognitive Radio Networks
Yang Qin, Xiaoxiong Zhong, Yuanyuan Yang +2
In this paper, we consider the joint opportunistic routing and channel assignment problem in multi-channel multi-radio (MCMR) cognitive radio networks (CRNs) for improving aggregat…