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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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Differential Privacy Meets Federated Learning under Communication Constraints


Jan 28, 2021
Nima Mohammadi, Jianan Bai, Qiang Fan, Yifei Song, Yang Yi, Lingjia Liu

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* 11 pages, 4 figures 

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Federated Learning in Mobile Edge Computing: An Edge-Learning Perspective for Beyond 5G


Jul 15, 2020
Shashank Jere, Qiang Fan, Bodong Shang, Lianjun Li, Lingjia Liu

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Delay-aware Resource Allocation in Fog-assisted IoT Networks Through Reinforcement Learning


Apr 30, 2020
Qiang Fan, Jianan Bai, Hongxia Zhang, Yang Yi, Lingjia Liu

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