Strategic Analysis of Participants in BCFL-Enabled Decentralized IoT Data Sharing

Ziwen Cheng (), Bowen Wang, Yongqi Pan and Yi Liu ()
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Ziwen Cheng: Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha 410073, China
Bowen Wang: Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha 410073, China
Yongqi Pan: Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha 410073, China
Yi Liu: Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha 410073, China

Mathematics, 2023, vol. 11, issue 21, 1-19

Abstract: Blockchain-based federated learning (BCFL) has been regarded as an emerging data sharing paradigm in edge networks of internet-of-things (IoT) because of its advantages, such as decentralization, collaborative model training, and privacy protection. However, there have been few studies focusing on strategic analysis in the BCFL system, which is important for establishing a robust and sustainable BCFL system in an untrustworthy and profit-driven environment. In this paper, we first propose a self-organizing data sharing system supported by BCFL to deeply analyze the data sharing logic. Then, a mathematical model based on evolutionary game theory is established to analyze the interaction between model owners and data providers, aiming at exploring the stability of user strategies under different considerations. According to the strategic analysis, we designed and further discussed a dynamic system control mechanism based on smart contracts to adaptively maintain a robust and sustainable BCFL system. We conducted numerical analysis and experiments to verify our work.

Keywords: blockchain; data sharing; internet of things; evolutionary game; robust; stability (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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