28 citations · 30 across the 9 of their papers we have counts for
4 papers · 1 filter
Accelerating Energy-Efficient Federated Learning in Cell-Free Networks with Adaptive Quantization
Afsaneh Mahmoudi, Ming Xiao, Emil Björnson
Federated Learning (FL) enables clients to share learning parameters instead of local data, reducing communication overhead. Traditional wireless networks face latency challenges w…
Large Language Model Based Multi-Objective Optimization for Integrated Sensing and Communications in UAV Networks
Haoyun Li, Ming Xiao, Kezhi Wang +2
This letter investigates an unmanned aerial vehicle (UAV) network with integrated sensing and communication (ISAC) systems, where multiple UAVs simultaneously sense the locations o…
Sensing-Communication-Computing-Control Closed-Loop Optimization for 6G Unmanned Robotic Systems
Xinran Fang, Chengleyang Lei, Wei Feng +4
Rapid advancements in field robots have brought a new kind of cyber physical system (CPS)--unmanned robotic system--under the spotlight. In the upcoming sixth-generation (6G) era,…
Fairness-Aware Multi-Server Federated Learning Task Delegation over Wireless Networks
Yulan Gao, Chao Ren, Han Yu
In the rapidly advancing field of federated learning (FL), ensuring efficient FL task delegation while incentivising FL client participation poses significant challenges, especiall…