15 citations · 73 across the 38 of their papers we have counts for
4 papers · 1 filter
Content Popularity Prediction Based on Quantized Federated Bayesian Learning in Fog Radio Access Networks
Yunwei Tao, Yanxiang Jiang, Fu-Chun Zheng +3
In this paper, we investigate the content popularity prediction problem in cache-enabled fog radio access networks (F-RANs). In order to predict the content popularity with high ac…
Content Popularity Prediction in Fog-RANs: A Clustered Federated Learning Based Approach
Zhiheng Wang, Yanxiang Jiang, Fu-Chun Zheng +2
In this paper, the content popularity prediction problem in fog radio access networks (F-RANs) is investigated. Based on clustered federated learning, we propose a novel mobility-a…
Computation Offloading and Resource Allocation in F-RANs: A Federated Deep Reinforcement Learning Approach
Lingling Zhang, Yanxiang Jiang, Fu-Chun Zheng +2
The fog radio access network (F-RAN) is a promising technology in which the user mobile devices (MDs) can offload computation tasks to the nearby fog access points (F-APs). Due to…
Distributed Edge Caching via Reinforcement Learning in Fog Radio Access Networks
Liuyang Lu, Yanxiang Jiang, Mehdi Bennis +3
In this paper, the distributed edge caching problem in fog radio access networks (F-RANs) is investigated. By considering the unknown spatio-temporal content popularity and user pr…