Active PAR

P3127

Guide for an Architectural Framework for Blockchain-based Federated Machine Learning

This guide specifies an architectural framework and application guidelines for Blockchain based Federated Machine Learning, including: 1) a description and a definition of Blockchain-based Federated Machine Learning, 2) the types of Federated Machine Learning for Blockchain-based Federated Machine Learning, 3) application scenarios for each type, 4) a definition of the levels of competency for blockchain based federated learning and guidelines for certifying these systems, 5) Security and privacy requirements of blockchain based federated learning, and 6) performance evaluations of Blockchain-based Federated Machine Learning in real application systems.

Sponsor Committee
C/AISC - Artificial Intelligence Standards Committee
Joint Sponsors
C/BDL
C/LT
Status
Active PAR
PAR Approval
2021-11-09

Working Group Details

Society
IEEE Computer Society
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Sponsor Committee
C/AISC - Artificial Intelligence Standards Committee
Working Group
BFML - Blockchain-based Federated Machine Learning
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IEEE Program Manager
Christy Bahn
Contact
Working Group Chair
Ye Ouyang
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No Active Standards
No Superseded Standards
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No Inactive-Reserved Standards
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