53 citations · 130 across the 13 of their papers we have counts for
4 papers · 1 filter
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges
Mingzhe Chen, Deniz Gündüz, Kaibin Huang +4
The next-generation of wireless networks will enable many machine learning (ML) tools and applications to efficiently analyze various types of data collected by edge devices for in…
UVeQFed: Universal Vector Quantization for Federated Learning
Nir Shlezinger, Mingzhe Chen, Yonina C. Eldar +2
Traditional deep learning models are trained at a centralized server using labeled data samples collected from end devices or users. Such data samples often include private informa…
Meta-Reinforcement Learning for Trajectory Design in Wireless UAV Networks
Ye Hu, Mingzhe Chen, Walid Saad +2
In this paper, the design of an optimal trajectory for an energy-constrained drone operating in dynamic network environments is studied. In the considered model, a drone base stati…
Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms
Tengchan Zeng, Omid Semiari, Mohammad Mozaffari +3
Unmanned aerial vehicle (UAV) swarms must exploit machine learning (ML) in order to execute various tasks ranging from coordinated trajectory planning to cooperative target recogni…