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Sliding Differential Evolution Scheduling for Federated Learning in Bandwidth-Limited Networks

Oct 18, 2020
Yifan Luo, Jindan Xu, Wei Xu, Kezhi Wang


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Multi-Agent Deep Reinforcement Learning Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing

Sep 23, 2020
Liang Wang, Kezhi Wang, Cunhua Pan, Wei Xu, Nauman Aslam, Lajos Hanzo

* Accepted by IEEE Transactions on Cognitive Communications and Networking 

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A Review on Computational Intelligence Techniques in Cloud and Edge Computing

Jul 27, 2020
Muhammad Asim, Yong Wang, Kezhi Wang, Pei-Qiu Huang

* Accepted by IEEE Transactions on Emerging Topics in Computational Intelligence 

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Distributed Resource Scheduling for Large-Scale MEC Systems: A Multi-Agent Ensemble Deep Reinforcement Learning with Imitation Acceleration

May 21, 2020
Feibo Jiang, Li Dong, Kezhi Wang, Kun Yang, Cunhua Pan

* Submitted for Review 

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Stacked Auto Encoder Based Deep Reinforcement Learning for Online Resource Scheduling in Large-Scale MEC Networks

Jan 24, 2020
Feibo Jiang, Kezhi Wang, Li Dong, Cunhua Pan, Kun Yang

* Submitted for review 

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Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-assisted Mobile Edge Computing

Nov 10, 2019
Liang Wang, Kezhi Wang, Cunhua Pan, Wei Xu, Nauman Aslam, Arumugam Nallanathan


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RL-Based User Association and Resource Allocation for Multi-UAV enabled MEC

Apr 08, 2019
Liang Wang, Peiqiu Huang, Kezhi Wang, Guopeng Zhang, Lei Zhang, Nauman Aslam, Kun Yang

* This paper was accepted by IWCMC 2019 

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