Unsupervised Recurrent Federated Learning for Edge Popularity Prediction in Privacy-Preserving Mobile Edge Computing Networks

no code implementations • 2 Jul 2022 • Chong Zheng, Shengheng Liu, Yongming Huang, Wei zhang, Luxi Yang

In this article, we propose an unsupervised and privacy-preserving popularity prediction framework for MEC-enabled IIoT.

Edge-computing Federated Learning +1

Distributed Reinforcement Learning for Privacy-Preserving Dynamic Edge Caching

no code implementations • 20 Oct 2021 • Shengheng Liu, Chong Zheng, Yongming Huang, Tony Q. S. Quek

In this paper, a privacy-preserving distributed deep deterministic policy gradient (P2D3PG) algorithm is proposed to maximize the cache hit rates of devices in the MEC networks.

Edge-computing Federated Learning +3

Hybrid Policy Learning for Energy-Latency Tradeoff in MEC-Assisted VR Video Service

no code implementations • 2 Apr 2021 • Chong Zheng, Shengheng Liu, Yongming Huang, Luxi Yang

Virtual reality (VR) is promising to fundamentally transform a broad spectrum of industry sectors and the way humans interact with virtual content.

Edge-computing