53 citations · 130 across the 13 of their papers we have counts for
10 papers · 1 filter
A Machine Learning Approach for Task and Resource Allocation in Mobile Edge Computing Based Networks
Sihua Wang, Mingzhe Chen, Xuanlin Liu +3
In this paper, a joint task, spectrum, and transmit power allocation problem is investigated for a wireless network in which the base stations (BSs) are equipped with mobile edge c…
Delay Minimization for Federated Learning Over Wireless Communication Networks
Zhaohui Yang, Mingzhe Chen, Walid Saad +4
In this paper, the problem of delay minimization for federated learning (FL) over wireless communication networks is investigated. In the considered model, each user exploits limit…
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…
Wireless Communications for Collaborative Federated Learning
Mingzhe Chen, H. Vincent Poor, Walid Saad +1
Internet of Things (IoT) services will use machine learning tools to efficiently analyze various types of data collected by IoT devices for inference, autonomy, and control purpose…
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 for Task and Resource Allocation in Wireless High Altitude Balloon Networks
Sihua Wang, Mingzhe Chen, Changchuan Yin +4
In this paper, the problem of minimizing energy and time consumption for task computation and transmission is studied in a mobile edge computing (MEC)-enabled balloon network. In t…