This paper proposes an evaluation mechanism of supply chain credit that integrates federated learning and block chain technology. In order to ensure the effective use of energy data, a set of credit evaluation index is designed for supply chain enterprises data and their energy data. Meanwhile, under the condition that data privacy is guaranteed, a federated learning algorithm is designed to improve the accuracy of federated learning training with the data of supply chain enterprises. Block chain and federated learning technology are integrated to assess credit. On the basis of ensuring data security, the credit evaluation results stored on the alliance chain are used for a second time, which not only ensures the interests of data requesters, but also ensures the risk control of external enterprises participating in supply chain finance.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Research on trusted sharing and privacy computing technology of energy data in supply chain based on alliance chain


    Contributors:
    Wang, Xinyan (author) / Zhu, Ying (author) / Yu, Xiaokun (author) / Liu, Yong (author) / Hu, An (author) / Jia, Jingli (author) / Wang, Zhiyong (author)


    Publication date :

    2022-10-12


    Size :

    1184271 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Traffic accident information sharing method and system based on alliance chain

    WU HAIJUAN | European Patent Office | 2021

    Free access

    Wide-area road condition information sharing system based on alliance chain

    DING CHENBO / CHEN XIANGYI / WANG LIANGMIN et al. | European Patent Office | 2022

    Free access

    Parking data auditing method based on alliance chain

    ZHAO SHI / WANG ZILONG / WANG CHUN et al. | European Patent Office | 2024

    Free access

    Trusted battery management system and method based on block chain technology

    ZHENG LUOHENG | European Patent Office | 2021

    Free access