23 citations · 25 across the 4 of their papers we have counts for
4 papers
Accelerating Wireless Federated Learning via Nesterov's Momentum and Distributed Principle Component Analysis
Yanjie Dong, Luya Wang, Yuanfang Chi +5
A wireless federated learning system is investigated by allowing a server and workers to exchange uncoded information via orthogonal wireless channels. Since the workers frequently…
DeepMA: End-to-end Deep Multiple Access for Wireless Image Transmission in Semantic Communication
Wenyu Zhang, Kaiyuan Bai, Sherali Zeadally +4
Semantic communication is a new paradigm that exploits deep learning models to enable end-to-end communications processes, and recent studies have shown that it can achieve better…
Network Topology Inference based on Timing Meta-Data
Wenbo Du, Tao Tan, Haijun Zhang +3
Consider a processor having access only to meta-data consisting of the timings of data packets and acknowledgment (ACK) packets from all nodes in a network. The meta-data report th…
Uncertainty Minimization for Personalized Federated Semi-Supervised Learning
Yanhang Shi, Siguang Chen, Haijun Zhang
Since federated learning (FL) has been introduced as a decentralized learning technique with privacy preservation, statistical heterogeneity of distributed data stays the main obst…