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Incentive Mechanism Design for Asynchronous Federated Learning in Vehicular Networks

Libo Shi Haitao Zhao Qin Wang Ying Zhang Kongrui Tang Jinyu Liu Hongbo Zhu

通信与信息网络学报(英文)2025,Vol.10Issue(3):246-253,8.
通信与信息网络学报(英文)2025,Vol.10Issue(3):246-253,8.

Incentive Mechanism Design for Asynchronous Federated Learning in Vehicular Networks

Incentive Mechanism Design for Asynchronous Federated Learning in Vehicular Networks

Libo Shi 1Haitao Zhao 1Qin Wang 1Ying Zhang 1Kongrui Tang 1Jinyu Liu 1Hongbo Zhu1

作者信息

  • 1. Institute of Internet of Things,Nanjing University of Posts and Telecom-munications,Nanjing 210003,China
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摘要

关键词

asynchronous federated learning/resource optimization/Stackelberg game/incentive mechanism

Key words

asynchronous federated learning/resource optimization/Stackelberg game/incentive mechanism

引用本文复制引用

Libo Shi,Haitao Zhao,Qin Wang,Ying Zhang,Kongrui Tang,Jinyu Liu,Hongbo Zhu..Incentive Mechanism Design for Asynchronous Federated Learning in Vehicular Networks[J].通信与信息网络学报(英文),2025,10(3):246-253,8.

基金项目

This work was supported in part by the Joint Funds for the National Natural Science Foundation of China under Grant U24B20187,the Natural Science Foundation on Frontier Leading Technology Basic Research Project of Jiangsu under Grant BK20212001,the National Natural Science Foundation of China under Grants 92367302 and 62371250,the Natural Sci-ence Foundation of the Jiangsu Higher Education Institutions of China under Grant 24KJA510008,and the Natural Science Foundation of Nanjing Univer-sity of Posts and Telecommunications under Grant NY224113. ()

通信与信息网络学报(英文)

2096-1081

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