… In this article, we propose an adaptive framework that integrates both federated learning and
blockchain to achieve both network trustworthiness and security. The solution is capable of …

… interfaces make users can apply the included machine learning method to process federated
training. FC API, the basic layer for federation learning, serving for distributed computation. …

… of federated learning systems, we present a blockchainbased trustworthy federated learning
… In this section, we present the blockchain-based trustworthy federated learning architecture. …

… Then, we propose a blockchain-empowered federated learning scheme to strengthen
communication security and data privacy protection in DITEN. Furthermore, to improve the …

… To solve this issue, synchronous federated learning (FL) is … , federated learning with
asynchronous convergence (FedAC) considering a staleness coefficient, while using a blockchain …

… federated learning to build a threat hunting framework called block hunter to automatically
hunt for attacks in blockchain… several machine learning models in a federated environment. To …

… Inspired by the idea of applying blockchain in federated learning, we design the BESIFL
as a fully decentralized system that replaces the server in the regular FL framework (shown in …

… In particular, we describe an explainable federated learning and blockchain-based credit …
First, we propose an explainable federated learning method with controllable machine learning …

… use federated learning as the learning paradigm for cognitive computing. With federated
learning… Nevertheless, federated learning also is subject to poisoning attacks, which is a primary …

… of federated learning systems, we present a blockchain-based trustworthy federated learning
ar… CONCLUSION This paper proposed a blockchain-based federated learning approach to …