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Research on the role of blockchain-based federated learning technology in traditional cultural inheritance

Published: 26 August 2024 Publication History

Abstract

Traditional cultural heritage is facing many challenges such as data fragmentation, privacy leakage and knowledge loss, which need to be solved with the help of the current advanced new generation of information technology. The research on the role of blockchain-based federated learning technology in traditional cultural heritage is a very forward-looking and innovative research topic. By using the latest blockchain technology and federated learning algorithm, it aims to explore a new mode of traditional cultural heritage to solve the challenges and problems faced by traditional culture in the process of modernization. The main research contents of this paper include the concept analysis of blockchain and federated learning, the problems existing in the traditional cultural heritage, the new ideas of traditional cultural heritage opened up by blockchain fusion federated learning, and the application and challenges of blockchain-based federated learning technology in cultural heritage.

References

[1]
GUO Tian-long, LI Long, CHANG Liang, LI Jing-jing. Review on Fair Federated Learning and Its Design. Acta Computer Sinica, 2023, 46(09): 1991-2024.
[2]
FANG Chen, GUO Yuanbo, WANG Yifeng, HU Yongjin, MA Jiali, ZHANG Han, HU Yangyang. Privacy Protection Method for Edge Computing Based on Blockchain and Federated Learning. Journal of Communications, 2021, 42(11): 28-40.
[3]
WANG Shiyu, ZHOU Ziyi. Application Status of Blockchain Technology in the Field of Intangible Cultural Heritage Protection. Economist, 2023, (10): 230-231.
[4]
YU Yuxin, LI Yuxin. Mechanism of Blockchain Technology Promoting High-quality Development of Digital Cultural Industry. Shanghai Economic Research, 2023, (08): 32-41.
[5]
BOSOC C S, ENESCU FM, ORZA O, IoT system using Blockchain in the conservation and promotion of Cultural Heritage[C]//P2022 14th International Conference on Electronics, Computers and Artificial Intelligence (ECAI). Romania: IEEE, 2022: 1-6.

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    DSAI '24: Proceedings of the 2024 International Conference on Digital Society and Artificial Intelligence
    May 2024
    514 pages
    ISBN:9798400709838
    DOI:10.1145/3677892
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 26 August 2024

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