… capabilities of the vehicles. In this paper, … blockchain and federated learning into IoV for
data sharing. We develop a hybrid blockchain - PermiDAG, and improve the federated learning …

… of ITS subsystems, particularly sophisticated traveler information, online carhailing, and traffic
… BC-empowered asynchronous FL model for secure data sharing among different channels …

… Our future work will focus on communication issues due to vehicle dynamics, which mainly
include two aspects: 1) Design an asynchronous federated learning model incorporating the …

… hierarchical blockchain framework and a hierarchical federated learning … sharing, by which
vehicles learn environmental data through machine learning methods and share the learning …

… In this article, we present a practical prospect of blockchain empowered federated learning
to realize fully secure, privacy preserving, … “Blockchain empowered asynchronous federated …

… for heterogeneous edge-powered internet of things,” Digital Communications and … Blockchain
empowered asynchronous federated learning for secure data sharing in internet of vehicles…

… vehicles in downlink channels. Referring to [5], we classify servers and vehicles that run the
overall blockchain as … Our scheme is an asynchronous permissioned blockchain. We use the …

… is the first time that blockchain and FL have been combined for vehicle networks. Previously
… One of the systems exploiting the powers and empowerment of the fifth-generation machine …

… asynchronous federal learning system based on permissioned blockchains that addresses
the federated learning … [40] suggested a blockchain-empowered federation learning scheme …

… federated learning (FL) is a privacy-preserving artificial-intelligence paradigm that does not
require to share data for model training in machine learning… In asynchronous FL, nodes can …