2020
DOI: 10.1109/tvt.2020.2973651
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Blockchain Empowered Asynchronous Federated Learning for Secure Data Sharing in Internet of Vehicles

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Cited by 552 publications
(230 citation statements)
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References 36 publications
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“…Lu et al [ 111 ] used the blockchain technology to assist federated learning for data sharing in vehicular environments. They considered a vehicular scenario that involves three types of entities, including vehicles, RSUs, and macro base stations.…”
Section: Blockchain and The Vehicular Internet Of Thingsmentioning
confidence: 99%
“…Lu et al [ 111 ] used the blockchain technology to assist federated learning for data sharing in vehicular environments. They considered a vehicular scenario that involves three types of entities, including vehicles, RSUs, and macro base stations.…”
Section: Blockchain and The Vehicular Internet Of Thingsmentioning
confidence: 99%
“…In the ESG infrastructure, FL can be performed on the edge equipment, such as a smart meter in each house, posing as an interface between the customer and the electric power supply. Based on FL, the ESG can exploit the capabilities of secure distributed intelligence and also utilize Blockchain technology to develop an efficient collaboration among untrusted entities for reliable data sharing [145].…”
Section: Federated Learning For Privacy Preservation In the Esgmentioning
confidence: 99%
“…The content caching problem of a secure permissioned blockchain-enabled framework was solved in [15] and a deep RL technique was used for maximizing system utility in terms of caching-resource-sharing. Similarly, a blockchain-enabled architecture was proposed in [9] for secure data sharing among vehicles and RL was used for mitigating the transmission overhead.…”
Section: Blockchain For Trust and Security In Wireless Networkmentioning
confidence: 99%
“…Specifcally, ML techniques have been successfully applied for monitoring and performance management, resource allocations, network security, dynamic network access, routing and network connectivity preservation. There has been a growing interest in the convergence of blockchain and machine learning technologies in wireless networks [7]- [9]. The marriage of ML and blockchain technologies has the potential of revolutionizing wireless networking.…”
Section: Introductionmentioning
confidence: 99%