July 12, 2022, 1:20 a.m. | Jun-Teng Yang, Wen-Yuan Chen, Che-Hua Li, Scott C.-H. Huang, Hsiao-Chun Wu

cs.CR updates on arXiv.org arxiv.org

Recent research in Internet of things has been widely applied for industrial
practices, fostering the exponential growth of data and connected devices.
Henceforth, data-driven AI models would be accessed by different parties
through certain data-sharing policies. However, most of the current training
procedures rely on the centralized data-collection strategy and a single
computational server. However, such a centralized scheme may lead to many
issues. Customer data stored in a centralized database may be tampered with so
the provenance and authenticity …

architecture artificial blockchain distributed federated learning intelligence privacy protection

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