Aktivní norma | Vydána: 16.04.2025

IEEE 3127-2025

IEEE Guide for an Architectural Framework for Blockchain-Based Federated Machine Learning

Dostupné jazyky: Anglicky

Dostupné provedení: Zabezpečené PDF - okamžité stažení, Tištěné

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Podrobné informace

Označení: IEEE 3127-2025

Datum vydání: 16.04.2025

Stran: 40

Země: Mezinárodní technická norma

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Anotace

New IEEE Standard - Active.
Guidance for improving the security auditability and traceability of blockchain-based federated machine learning is provided in this document. Blockchain-based federated machine learning helps data owners, producers, consumers, and collaborators to realize multi-party secure computing while meeting applicable interaction, decentralization, safety, reliability, and robustness guidelines. Blockchain-based Federated Machine Learning can improve the privacy of data owners, producers, consumers, and collaborators, and enable those entities to give permission for functions including the use of data, withdrawing the use of data, and potentially selling data under specified conditions.

ISBN: 979-8-8557-2004-4, 979-8-8557-2005-1
Number of Pages: 40
Product Code: STD27811, STDPD27811
Keywords: blockchain, federated machine learning, FML, IEEE 3127™
Category: 319

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