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Cross-domain resources optimization for hybrid edge computing networks:Federated DRL approach

Xiaoqin Song Quan Chen Shumo Wang Tiecheng Song

数字通信与网络（英文）2025，Vol.11Issue(6)：1797-1808,12.

数字通信与网络（英文）2025，Vol.11Issue(6)：1797-1808,12.DOI:10.1016/j.dcan.2024.03.006

Cross-domain resources optimization for hybrid edge computing networks:Federated DRL approach

Xiaoqin Song ¹Quan Chen ²Shumo Wang ²Tiecheng Song²

作者信息

1. College of Electronic and Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China||National Mobile Communications Research Laboratory,Southeast University,Nanjing 211189,China
2. National Mobile Communications Research Laboratory,Southeast University,Nanjing 211189,China
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摘要

关键词

Internet of vehicles/Multi-access edge computing/Cross-domain resources optimization/Federated learning/Dueling double deep Q-network

Key words

Internet of vehicles/Multi-access edge computing/Cross-domain resources optimization/Federated learning/Dueling double deep Q-network

引用本文复制引用

Xiaoqin Song,Quan Chen,Shumo Wang,Tiecheng Song..Cross-domain resources optimization for hybrid edge computing networks:Federated DRL approach[J].数字通信与网络（英文）,2025,11(6):1797-1808,12.

基金项目

This project is supported by the open research fund of National Mo-bile Communications Research Laboratory,Southeast University(No.2024D13),National Key Research and Development Program of China under Grant 2020YFB1600104,Key Research and Development Plan of Jiangsu Province under Grant BE2020084-2,National Natural Sci-ence Foundation of China(No.62371232),Future Network Scientific Research Fund Project(FNSRFP-2021-ZD-4).Key Research and Devel-opment Special Project of school and local cooperation in Lvliang(No.2023XDHZ18). （No.2024D13）

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