Decentralized IoT data sharing: A blockchain-based federated learning approach with joint optimizations for efficiency and privacy

Ziwen Cheng, Yi Liu, Chao Wu, Yongqi Pan, Liushun Zhao, Xin Deng, Cheng Zhu

Abstract: Highlights•We develop a novel framework that tightly couples FL with blockchain for data sharing.•Our BCFL-enabled data sharing uses a new PDP method to enhance privacy flexibility.•We introduce a Stackelberg-game-based mechanism to optimize efficiency and privacy.•Extensive experiments show our approach excels in efficiency and flexible privacy.