… global deep learning model. To address these challenges, this paper proposes a novel
framework based on blockchain and the federated learning model. The federated learning model …

… Federated learning strategies are adapted at different MEC sites or end-devices to minimize
data exchange and maintain data sensitivity and privacy. In FL, all end devices’ local data …

… This paper proposes a federated learning based blockchain-… in blockchain, vehicles compete
to become a relay node (miner) by processing the proposed Proofof-Federated-Learning (…

… Moreover, we presented an application of a blockchain federated learning … blockchain for
federated learning can definitely leverage the performance of traditional federated learning, but …

… learning and deep learning. To address this limitation, we analyze the IIoT literature that
integrates Blockchain and federated learning to … the role of Blockchain and federated learning in …

… a blockchain-based federated learning (FL) framework with incentives for participating nodes
to enhance the accuracy of classification problems. Machine learning technology has been …

… Federated learning (FL) is seen as a road toward privacy-… By leveraging blockchain, this
article puts forward a blockchain … To address these concerns, federated learning (FL) is seen as …

… using federated learning and private blockchain technology within a fog-IoT network. These
tech… We further investigated the contributions of other technologies to the security and …

… the edge servers are sent to the blockchain to perform federated learning. As a new
contribution of this paper, the federated learning in the blockchain well addresses the training data …

… verification in the blockchain-based federated learning process, … model into the federated
learning process by combining the … in the blockchain-based federated learning process. …