Quantum Federated Learning for Vehicular Computing Scenarios
Author:
Affiliation:
1. Korea University,School of Electrical Engineering,Seoul,Republic of Korea
Funder
National Research Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10391854/10391860/10392753.pdf?arnumber=10392753
Reference32 articles.
1. Autonomous vehicle market size, share, value, report, growth;S,2022
2. Comprehensive Survey on Machine Learning in Vehicular Network: Technology, Applications and Challenges
3. Vehicular Edge Computing: Architecture, Resource Management, Security, and Challenges
4. Toward cloud-based vehicular networks with efficient resource management
5. Federated Learning in Vehicular Networks: Opportunities and Solutions
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