Design Issues in Implementation of Decentralized AI-data commons Framework | IEEE Conference Publication | IEEE Xplore

Design Issues in Implementation of Decentralized AI-data commons Framework


Abstract:

In this paper, we propose a system architecture for AI-data commons. An AI-data commons system can form a shared data economy among various stakeholders such as data owne...Show More

Abstract:

In this paper, we propose a system architecture for AI-data commons. An AI-data commons system can form a shared data economy among various stakeholders such as data owners, data providers, and AI/data consumers, computing providers and problem solvers. In the AI-Data Commons ecosystem, various AI modules and data are shared/distributed in a way that ensures the sovereignty and privacy of AI-data owners through decentralized interactions among stakeholders.
Date of Conference: 11-13 October 2023
Date Added to IEEE Xplore: 23 January 2024
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Conference Location: Jeju Island, Korea, Republic of

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