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    Federated Learning on Distributed and Encrypted Data for Smart Manufacturing 

    Source: Journal of Computing and Information Science in Engineering:;2024:;volume( 024 ):;issue: 007:;page 71007-1
    Author(s): Kuo, Timothy; Yang, Hui
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Industry 4.0 drives exponential growth in the amount of operational data collected in factories. These data are commonly distributed and stored in different business units or cooperative companies. Such data-rich environments ...
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    DSpace software copyright © 2002-2015  DuraSpace
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian