Local Differential Privacy-Based Federated Learning for Internet of Things

The Internet of Vehicles (IoV) is a promising branch of the Internet of Things. IoV simulates a large variety of crowdsourcing applications, such as Waze, Uber, and Amazon Mechanical Turk, etc. Users of these applications report the real-time traffic information to the cloud server which trains a ma...

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Veröffentlicht in:	IEEE internet of things journal Jg. 8; H. 11; S. 8836 - 8853
Hauptverfasser:	Zhao, Yang, Zhao, Jun, Yang, Mengmeng, Wang, Teng, Wang, Ning, Lyu, Lingjuan, Niyato, Dusit, Lam, Kwok-Yan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.06.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Budgets Cloud computing Communication Crowdsourcing Differential privacy Federated learning Internet of Things Internet of Vehicles local differential privacy Machine learning Motor vehicles Privacy Servers Software algorithms Traffic information Traffic management Traffic models
ISSN:	2327-4662, 2327-4662
Online-Zugang:	Volltext
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