53 citations · 130 across the 13 of their papers we have counts for
8 papers · 1 filter
Optimization of User Selection and Bandwidth Allocation for Federated Learning in VLC/RF Systems
Chuanhong Liu, Caili Guo, Yang Yang +3
Limited radio frequency (RF) resources restrict the number of users that can participate in federated learning (FL) thus affecting FL convergence speed and performance. In this pap…
Artificial Intelligence Driven UAV-NOMA-MEC in Next Generation Wireless Networks
Zhong Yang, Mingzhe Chen, Xiao Liu +4
Driven by the unprecedented high throughput and low latency requirements in next-generation wireless networks, this paper introduces an artificial intelligence (AI) enabled framewo…
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…
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…
Machine Learning for Predictive Deployment of UAVs with Multiple Access
Linyan Lu, Zhaohui Yang, Mingzhe Chen +2
In this paper, a machine learning based deployment framework of unmanned aerial vehicles (UAVs) is studied. In the considered model, UAVs are deployed as flying base stations (BS)…