Overcoming Resource Bottlenecks in Vehicular Federated Learning: A Cluster-Based and QoS-Aware Approach
Author:
Affiliation:
1. College of Technological Innovation, Zayed University,United Arab Emirates
2. Cyber Security Systems and Applied AI Research Center, Lebanese American University,Department of CSM,Lebanon
Funder
ZU
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10436708/10436716/10437842.pdf?arnumber=10437842
Reference13 articles.
1. Towards on Demand Road Condition Monitoring Using Mobile Phone Sensing as a Service
2. A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond
3. Privacy-Preserving Aggregation for Federated Learning-Based Navigation in Vehicular Fog
4. Clustered Vehicular Federated Learning: Process and Optimization
5. Federated Learning in Vehicular Networks
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