2 citations · 4 across the 6 of their papers we have counts for
5 papers
GoMORE: Global Model Reuse for Resource-Constrained Wireless Federated Learning
Jiacheng Yao, Zhaohui Yang, Wei Xu +2
Due to the dynamics of wireless environment and limited bandwidth, wireless federated learning (FL) is challenged by frequent transmission errors and incomplete aggregation from de…
On Differential Privacy for Federated Learning in Wireless Systems with Multiple Base Stations
Nima Tavangaran, Mingzhe Chen, Zhaohui Yang +2
In this work, we consider a federated learning model in a wireless system with multiple base stations and inter-cell interference. We apply a differential private scheme to transmi…
Performance Optimization for Semantic Communications: An Attention-based Reinforcement Learning Approach
Yining Wang, Mingzhe Chen, Tao Luo +4
In this paper, a semantic communication framework is proposed for textual data transmission. In the studied model, a base station (BS) extracts the semantic information from textua…
Beamforming Design for the Performance Optimization of Intelligent Reflecting Surface Assisted Multicast MIMO Networks
Songling Zhang, Zhaohui Yang, Mingzhe Chen +3
In this paper, the problem of maximizing the sum of data rates of all users in an intelligent reflecting surface (IRS)-assisted millimeter wave multicast multiple-input multiple-ou…
Caching in the Sky: Proactive Deployment of Cache-Enabled Unmanned Aerial Vehicles for Optimized Quality-of-Experience
Mingzhe Chen, Mohammad Mozaffari, Walid Saad +3
In this paper, the problem of proactive deployment of cache-enabled unmanned aerial vehicles (UAVs) for optimizing the quality-of-experience (QoE) of wireless devices in a cloud ra…