RSAM: Byzantine-Robust and Secure Model Aggregation in Federated Learning for Internet of Vehicles using Private Approximate Median-Reference-Cited by-同舟云学术

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RSAM: Byzantine-Robust and Secure Model Aggregation in Federated Learning for Internet of Vehicles using Private Approximate Median

Published:2023 Issue: Volume: Page:1-12
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

He Yuanyuan¹^ORCID,Li Peizhi¹,Ni Jianbing²^ORCID,Deng Xianjun¹^ORCID,Lu Hongwei¹^ORCID,Zhang Jie¹,Yang Laurence T.¹^ORCID

Affiliation:

1. Hubei Key Laboratory of Distributed System Security, Hubei Engineering Research Center on Big Data Security, School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

2. Department of Electrical and Computer Engineering, Queen's University, Kingston, ON, Canada

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/4356907/10363690.pdf?arnumber=10363690

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