Decentralized Machine Learning Governance: Overview, Opportunities, and Challenges

【Author】 Alsagheer, Dana; Xu, Lei; Shi, Weidong

【Source】IEEE ACCESS

【影响因子】3.476

【Abstract】Researchers have started to recognize the necessity for a well-defined ML governance framework based on the principle of decentralization and comprehensively defining its scope of research and practice due to the growth of machine learning (ML) research and applications in the real world and the success of blockchain-based technology. In this paper, we study decentralized ML governance, which includes ML value chain management, decentralized identity for the ML community, decentralized ownership and rights management of ML assets, community-based decision-making for the ML process, decentralized ML finance, and risk management.

【Keywords】Blockchain; DAO; decentralization; governance; MLOps

【发表时间】2023

【收录时间】2023-09-29

【文献类型】综述

【主题类别】

区块链技术-协同技术-机器学习