Smart Contract Aided Dynamic Multi-Owner Copyright with Hierarchical Differential Royalties for Collaborative AI Model Trading

Yixin Fan, Jun Wu*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Currently, Artificial Intelligence (AI) model trading has gained increasing attention from academia and industry. Although of great appeal, it poses a series of challenges when applied in decentralized collaborative trading scenarios. On the one hand, model owners should constantly fine-tune AI models to meet customized needs, which causes heavy updating overhead. On the other hand, collaborative AI model training results in copyright sharing between multiple owners, which necessitates differential AI model royalties to adapt to the development of trading market. To address these challenges, we design a smart contract aided dynamic multi-owner copyright scheme with hierarchical differential royalties for collaborative AI model trading. First, to meet the frequent updating requirements, we propose a Non-Fungible Token (NFT) driven dynamic AI model copyright protection structure, integrating InterPlanetary File System (IPFS) and NFT to realize low-cost AI model updating. Second, a batch AI model trading smart contract is designed to further reduce the trading cost in high-frequency trading scenarios. Third, we establish a hierarchical differential royalties collection and allocation mechanism for multi-owner AI models, where the AI model royalties are adaptively adjusted over time, utilization frequency, and the number of customers, and are allocated differentially based on training contributions. Last but not least, we conduct comprehensive evaluation and analysis of our scheme, demonstrating its efficiency, availability and flexibility.

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE 9th International Conference on Smart Cloud, SmartCloud 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages77-81
Number of pages5
ISBN (Electronic)9798350389500
DOIs
Publication statusPublished - 2024
Event9th IEEE International Conference on Smart Cloud, SmartCloud 2024 - New York City, United States
Duration: 2024 May 102024 May 12

Publication series

NameProceedings - 2024 IEEE 9th International Conference on Smart Cloud, SmartCloud 2024

Conference

Conference9th IEEE International Conference on Smart Cloud, SmartCloud 2024
Country/TerritoryUnited States
CityNew York City
Period24/5/1024/5/12

Keywords

  • AI model trading
  • blockchain
  • Copyright protection
  • smart contract

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Modelling and Simulation

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