Federated Learning With Blockchain for Autonomous Vehicles: Analysis and Design Challenges

We propose an autonomous blockchain-based federated learning (BFL) design for privacy-aware and efficient vehicular communication networking, where local on-vehicle machine learning (oVML) model updates are exchanged and verified in a distributed fashion. BFL enables oVML without any centralized tra...

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Veröffentlicht in:	IEEE transactions on communications 2020-08, Vol.68 (8), p.4734-4746
Hauptverfasser:	Pokhrel, Shiva Raj, Choi, Jinho
Format:	Artikel
Sprache:	eng
Schlagworte:	Autonomous vehicles Blockchain Computational modeling Computer simulation consensus delay Cryptography delay analysis Delays Design analysis Federated learning low delay Machine learning On-vehicle machine learning Parameter identification Servers System dynamics Training
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