… Federated learning (FL) can prevent privacy leakage by … The emergence of blockchain
provides a secure and efficient … how blockchain can be applied to federal learning from the …

… , we design a federated learning (FL) system leveraging a reputation mechanism to assist
home appliance manufacturers to train a machine learning model based on customers’ data. …

… blockchain-based federated learning approach for device failure detection in IIoT. First, we
present a platform architecture of blockchain-based federated learning … root on a blockchain. …

… Federated learning (FL) has emerged as a new paradigm for DL … blockchain-based FL
methods for securing IoT systems holistically. It presents the current state of research in blockchain…

… federated learning framework based on blockchain, that is, a … is a Blockchain-based Federated
Learning framework with … nodes perform FL via blockchain, which maintains the global …

… the existing federated learning frameworks are based on a … blockchain-based federated
learning framework is proposed to enable decentralized, reliable, and secure federated learning …

… blockchain and federated learning from various perspectives. In [58], Nguyen et al. discussed
blockchain… of Things, where blockchain and federated learning are separately discussed in …

… In order to evaluate the introduction of blockchain on the training efficiency of federated
learning, we compare the running time of the three methods, as shown in Figure 6, from which …

Federated learning (FL) is the collaborative machine learning (ML) technique whereby the …
Moreover, we present the concept of blockchain-based reputation-aware fine-grained FL in …

… Federated learning (FL), a distributed machine learning method, has been developed to
address these challenges. Federated learning trains a global model in a decentralized manner. …