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

• Published in: IEEE transactions on vehicular technology Vol. 69; no. 4; pp. 4298 - 4311
• Main Authors: Lu, Yunlong, Huang, Xiaohong, Zhang, Ke, Maharjan, Sabita, Zhang, Yan
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.04.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 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

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...