A Data Sharing Scheme Based on Federated Learning in IoV-Reference-Cited by-同舟云学术

A Data Sharing Scheme Based on Federated Learning in IoV

Published:2023-09 Issue:9 Volume:72 Page:11644-11656
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Hu Xiaoya¹^ORCID,Li Ruiqin¹,Wang Licheng²^ORCID,Ning Yuqiao³^ORCID,Ota Kaoru⁴^ORCID

Affiliation:

1. School of Cyberspace Security, State Key Laboratory of Networking and Switching Technology, Beijing University of Post and Telecommunications, Beijing, China

2. School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China

3. Information Security Office of the Internet of Vehicles Business Department, China Automotive Data Corporation, Tianjin, China

4. Department of Information and Electronic Engineering, Muroran Institute of Technology, Muroran, Japan

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Beijing Natural Science Foundation

Higher Education Discipline Innovation Project

BUPT Excellent Ph.D. Students Foundation

JSPS KAKENHI

Leading Initiative for Excellent Young Researchers (LEADER), MEXT, Japan, and in part by JST, PRESTO, Japan

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/ielx7/25/10254672/10098890.pdf?arnumber=10098890

Reference32 articles.

1. Improving TCP Performance Over WiFi for Internet of Vehicles: A Federated Learning Approach

2. Privacy-Enhanced Data Collection Based on Deep Learning for Internet of Vehicles

3. Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Systems

4. Secure, Privacy Preserving and Verifiable Federating Learning using Blockchain for Internet of Vehicles

5. The design of Rijndael;daemen;Inf Secur Cryptogr,2001

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