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Qiong Wu

Asynchronous Federated Learning for Edge-assisted Vehicular Networks

Aug 03, 2022
Siyuan Wang, Qiong Wu, Qiang Fan, Cui Zhang, Zhengquan Li

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* This paper has been submitted to WCSP

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Towards V2I Age-aware Fairness Access: A DQN Based Intelligent Vehicular Node Training and Test Method

Aug 02, 2022
Qiong Wu, Shuai Shi, Ziyang Wan, Qiang Fan, Pingyi Fan, Cui Zhang

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* This paper has been accepted by Chinese Journal of Electronics. Simulation codes have been provided at: https://github.com/qiongwu86/Age-Fairness

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Mobility-Aware Cooperative Caching in Vehicular Edge Computing Based on Asynchronous Federated and Deep Reinforcement Learning

Aug 02, 2022
Qiong Wu, Yu Zhao, Qiang Fan, Pingyi Fan, Jiangzhou Wang, Cui Zhang

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* This paper has been submitted to IEEE Journal of Selected Topics in Signal Processing

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Time-Dependent Performance Modeling for Platooning Communications at Intersection

Aug 02, 2022
Qiong Wu, Yu Zhao, Qiang Fan

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* This paper has been accepted by IEEE Internet of Things Journal

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Decentralized Power Allocation for MIMO-NOMA Vehicular Edge Computing Based on Deep Reinforcement Learning

Jul 30, 2021
Hongbiao Zhu, Qiong Wu, Xiaojun Wu, Qiang Fan, Pingyi Fan, Jiangzhou Wang

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* This paper has been submitted to IEEE journal

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Deep Reinforcement Learning with Spatio-temporal Traffic Forecasting for Data-Driven Base Station Sleep Control

Jan 21, 2021
Qiong Wu, Xu Chen, Zhi Zhou, Liang Chen, Junshan Zhang

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* Accepted by IEEE/ACM Transactions on Networking, Jan. 2021

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FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring

Dec 14, 2020
Qiong Wu, Xu Chen, Zhi Zhou, Junshan Zhang

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* Accepted by IEEE Transactions on Mobile Computing

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Rosella: A Self-Driving Distributed Scheduler for Heterogeneous Clusters

Nov 10, 2020
Qiong Wu, Zhenming Liu

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* 12 pages

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