Blockchain-based Federated Learning for Securing Internet of Things

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This paper has discussed Federated Learning, blockchain, and their integration in IoT systems to secure decision-making and data analytics. Blockchain-based FL architectures have recently been promising solutions for addressing the security and privacy problems associated with data analytics in IoT environments. However, these architectures create the possibility of new security, privacy, and efficiency concerns. Therefore, new enhanced architectures and algorithms should investigate and address these concerns. This survey examined blockchain and FL to show the significance of combining the two technologies to enable secure, effective, and robust IoT applications. Afterward, FL security and privacy threats are investigated along with the recently proposed solution for those threats. Next, this work provides comprehensive literature about blockchain-based FL solutions for IoT applications. Then, the lessons learned from this survey are listed. Finally, this work has highlighted several potential challenges and future directions for blockchain-based FL IoT architectures, which will necessitate further research and investigation in future research.

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