RCFL: Redundancy-Aware Collaborative Federated Learning in Vehicular Networks-Reference-Cited by-同舟云学术

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RCFL: Redundancy-Aware Collaborative Federated Learning in Vehicular Networks

Published:2023 Issue: Volume: Page:1-15
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Hui Yilong¹^ORCID,Hu Jie¹,Cheng Nan¹^ORCID,Zhao Gaosheng¹^ORCID,Chen Rui¹^ORCID,Luan Tom H.²,Aldubaikhy Khalid³^ORCID

Affiliation:

1. State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China

2. School of Cyber Science and Engineering, Xi’an Jiaotong University, Xi’an, China

3. Department of Electrical Engineering, Qassim University, Buraydah, Saudi Arabia

Funder

National Key Research and Development Program of China

China Post-Doctoral Science Foundation

Guangzhou Science and Technology Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/4358928/10346209.pdf?arnumber=10346209

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Network Latency in Teleoperation of Connected and Autonomous Vehicles: A Review of Trends, Challenges, and Mitigation Strategies;Sensors;2024-06-18

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