17 citations · 61 across the 11 of their papers we have counts for
12 papers
Semi-Asynchronous Federated Edge Learning Mechanism via Over-the-air Computation
Zhoubin Kou, Yun Ji, Xiaoxiong Zhong +1
Over-the-air Computation (AirComp) has been demonstrated as an effective transmission scheme to boost the efficiency of federated edge learning (FEEL). However, existing FEEL syste…
Client Selection and Bandwidth Allocation for Federated Learning: An Online Optimization Perspective
Yun Ji, Zhoubin Kou, Xiaoxiong Zhong +3
Federated learning (FL) can train a global model from clients' local data set, which can make full use of the computing resources of clients and performs more extensive and efficie…
Auction Based Clustered Federated Learning in Mobile Edge Computing System
Renhao Lu, Weizhe Zhang, Qiong Li +2
In recent years, mobile clients' computing ability and storage capacity have greatly improved, efficiently dealing with some applications locally. Federated learning is a promising…
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…
OODT: Obstacle Aware Opportunistic Data Transmission for Cognitive Radio Ad Hoc Networks
Xiaoxiong Zhong, Li Li, Yuanping Zhang +3
In recent years, a large number of smart devices will be connected in Internet of Things (IoT) using an ad hoc network, which needs more frequency spectra. The cognitive radio (CR)…
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…
NFCU: A New Friendship-based Routing with Buffer Management in Opportunistic Networks
Yang Qin, Li Li, Xiaohan Zhang +1
Routing in opportunistic networks is a very important and challenging problem because opportunistic network utilizes the contact opportunities of mobile nodes to achieve data commu…
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.…
Capacity Analysis in Multi-Radio Multi-Channel Cognitive Radio Networks: A Small World Perspective
Xiaoxiong Zhong, Yang Qin, Li Li
Cognitive radio (CR) has emerged as a promising technology to improve spectrum utilization. Capacity analysis is very useful in investigating the ultimate performance limits for wi…
Transport Protocols in Cognitive Radio Networks: A Survey
Xiaoxiong Zhong, Yang Qin, Li Li
Cognitive radio networks (CRNs) have emerged as a promising solution to enhance spectrum utilization by using unused or less used spectrum in radio environments. The basic idea of…
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…