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IEEE 3127-2025

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

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IEEE 3127-2025

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

PUBLISH DATE 2025

PAGES 40

IEEE 3127-2025

Document Information

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.

To provide an architectural framework and application guidelines for blockchain-based federated machine learning (BC-FML), including the following:--A description and a definition of BC-FML--The types for BC-FML--Application scenarios for each type--A definition of capability for BC-FML and guidelines for evaluating these systems--Security and privacy guidelines of BC-FML--Performance evaluation of BC-FML in real application systems

The purpose of this document is to provide guidance for improving the security audibility and traceability of BC-FML.BC-FML helps data owners, coordinators, model users, etc., to realize multi-party federated modeling while meeting applicable interaction, decentralization, safety, reliability, and robustness requirements. BC-FML can improve the privacy for data owners, coordinators, model users, etc., and enable those entities to permit functions including the use of data, withdrawing the use of data, and potentially selling data under specified conditions.


SDO	IEEE: Institute of Electrical and Electronics Engineers
Document Number	3127
Publication Date	April 16, 2025
Language	en - English
Page Count	40
Revision Level
Supercedes
Committee	Artificial Intelligence Standards Committee

Publish Date	Document Id	Type	View
April 16, 2025	3127-2025	Revision

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IEEE 3127-2025

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

IEEE 3127-2025

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