34 citations · 53 across the 5 of their papers we have counts for
5 papers
Communication-Efficient Federated Learning with Dual-Side Low-Rank Compression
Zhefeng Qiao, Xianghao Yu, Jun Zhang +1
Federated learning (FL) is a promising and powerful approach for training deep learning models without sharing the raw data of clients. During the training process of FL, the centr…
Large System Achievable Rate Analysis of RIS-Assisted MIMO Wireless Communication with Statistical CSIT
Jun Zhang, Jie Liu, Shaodan Ma +2
Reconfigurable intelligent surface (RIS) is an emerging technology to enhance wireless communication in terms of energy cost and system performance by equipping a considerable quan…
Supporting More Active Users for Massive Access via Data-assisted Activity Detection
Xinyu Bian, Yuyi Mao, Jun Zhang
Massive machine-type communication (mMTC) has been regarded as one of the most important use scenarios in the fifth generation (5G) and beyond wireless networks, which demands scal…
Data-Importance Aware User Scheduling for Communication-Efficient Edge Machine Learning
Dongzhu Liu, Guangxu Zhu, Jun Zhang +1
With the prevalence of intelligent mobile applications, edge learning is emerging as a promising technology for powering fast intelligence acquisition for edge devices from distrib…
An Overview of Attacks and Defences on Intelligent Connected Vehicles
Mahdi Dibaei, Xi Zheng, Kun Jiang +9
Cyber security is one of the most significant challenges in connected vehicular systems and connected vehicles are prone to different cybersecurity attacks that endanger passengers…