ETRI-Knowledge Sharing Plaform

KOREAN
논문 검색
Type SCI
Year ~ Keyword

Detail

Conference Paper AI-data commons: A decentralized collaborative framework for AI-based problem solving
Cited 0 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Young-Ho Suh, Sungpil Woo, Jihoon Seo, Jaeseob Han, Sunhwan Lim, Chan-Won Park
Issue Date
2024-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2024, pp.414-415
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC62082.2024.10827617
Abstract
In this paper, we propose a system architecture for a decentralized collaborative framework aimed at AI-based problem solving. The decentralized collaborative framework for AI-based problem solving provides a decentralized workspace where problem issuers, problem solvers, project leaders, and project members can collaborate to reliably solve AI-based problems. The PCI mechanism proposed in this paper ensures that participants in the decentralized workspace are rewarded in proportion to their contributions to problem-solving through collaboration.
KSP Keywords
Data Commons, System architecture, collaborative framework, problem solving