Blockchain Empowered Asynchronous Federated Learning for Secure Data Sharing in Internet of Vehicles

In Internet of Vehicles (IoV), data sharing among vehicles for collaborative analysis can improve the driving experience and service quality. However, the bandwidth, security and privacy issues hinder data providers from participating in the data sharing process. In addition, due to the intermittent...

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Veröffentlicht in:	IEEE transactions on vehicular technology Jg. 69; H. 4; S. 4298 - 4311
Hauptverfasser:	Lu, Yunlong, Huang, Xiaohong, Zhang, Ke, Maharjan, Sabita, Zhang, Yan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.04.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Architecture Asynchronous federated learning Blockchain Cryptography Data privacy Data retrieval Data sharing Deep reinforcement learning Device-to-device communication Federated learning Information sharing Internet of Vehicles Machine learning Privacy Reliability Resource management Security Wireless networks
ISSN:	0018-9545, 1939-9359
Online-Zugang:	Volltext
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