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IEEE 3127-2025

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

NORMA vydaná dňa 16.4.2025

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Informácie o norme:

Označenie normy: IEEE 3127-2025
Dátum vydania normy: 16.4.2025
Počet strán: 40
Približná hmotnosť: 120 g (0.26 libier)
Krajina: Medzinárodná technická norma
Kategória: Technické normy IEEE

Anotácia textu normy IEEE 3127-2025 :

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