Trends in Blockchain and Federated Learning for Data Sharing in Distributed Platforms (2107.08624v1)

Abstract: With the development of communication technologies in 5G networks and the Internet of things (IoT), a massive amount of generated data can improve ML inference through data sharing. However, security and privacy concerns are major obstacles in distributed and wireless networks. In addition, IoT has a limitation on system resources depending on the purpose of services. In addition, a blockchain technology enables secure transactions among participants through consensus algorithms and encryption without a centralized coordinator. In this paper, we first review the federated leaning (FL) and blockchain mechanisms, and then, present a survey on the integration of blockchain and FL for data sharing in industrial, vehicle, and healthcare applications.