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20212024
most citedDistributed Reinforcement Learning for Privacy-Preserving Dynamic Edge Caching

79 citations · 117 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2024★ 1 cited

Learning for Cross-Layer Resource Allocation in MEC-Aided Cell-Free Networks

Chong Zheng, Shiwen He, Yongming Huang +1

Cross-layer resource allocation over mobile edge computing (MEC)-aided cell-free networks can sufficiently exploit the transmitting and computing resources to promote the data rate…

cs.NI2024

Intelligent Hybrid Resource Allocation in MEC-assisted RAN Slicing Network

Chong Zheng, Yongming Huang, Cheng Zhang +1

In this paper, we aim to maximize the SSR for heterogeneous service demands in the cooperative MEC-assisted RAN slicing system by jointly considering the multi-node computing resou…

cs.MM2022★ 36 cited

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

Chong Zheng, Shengheng Liu, Yongming Huang +2

Nowadays wireless communication is rapidly reshaping entire industry sectors. In particular, mobile edge computing (MEC) as an enabling technology for industrial Internet of things…

cs.LG2021★ 79 cited

Distributed Reinforcement Learning for Privacy-Preserving Dynamic Edge Caching

Shengheng Liu, Chong Zheng, Yongming Huang +1

Mobile edge computing (MEC) is a prominent computing paradigm which expands the application fields of wireless communication. Due to the limitation of the capacities of user equipm…

cs.NI2021★ 1 cited

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

Chong Zheng, Shengheng Liu, Yongming Huang +1

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