Active Standard

IEEE 3187-2024

IEEE Approved Draft Guide for Framework for Trustworthy Federated Machine Learning

The development and application of federated machine learning are facing the critical challenges about how to balance the tradeoff among privacy, security, performance, and efficiency, how to realize supervision covering the whole life cycle and how to get the explainable results. Then trustworthy federated machine learning is proposed to solve the above problem. In this standard, a general view on framework for trustworthy federated machine learning is provided in four parts: a principle in trustworthy federated machine learning, requirements from the perspective of different principles and different federated machine learning participants, and methods to realize trustworthy federated machine learning. It also provides some guidance on how trustworthy federated machine learning is used in various scenarios.

Sponsor Committee
C/AISC - Artificial Intelligence Standards Committee
Status
Active Standard
PAR Approval
2022-06-16
Board Approval
2024-09-26

Working Group Details

Society
IEEE Computer Society
Learn More About IEEE Computer Society
Sponsor Committee
C/AISC - Artificial Intelligence Standards Committee
Working Group
FT-FML - Framework for Trustworthy Federated Machine Learning
IEEE Program Manager
Christy Bahn
Contact Christy Bahn
Working Group Chair
Zuping Wu

Other Activities From This Working Group

Current projects that have been authorized by the IEEE SA Standards Board to develop a standard.


No Active Projects

Standards approved by the IEEE SA Standards Board that are within the 10-year lifecycle.


No Active Standards

These standards have been replaced with a revised version of the standard, or by a compilation of the original active standard and all its existing amendments, corrigenda, and errata.


No Superseded Standards

These standards have been removed from active status through a ballot where the standard is made inactive as a consensus decision of a balloting group.


No Inactive-Withdrawn Standards

These standards are removed from active status through an administrative process for standards that have not undergone a revision process within 10 years.


No Inactive-Reserved Standards
Subscribe to our Newsletter

Sign up for our monthly newsletter to learn about new developments, including resources, insights and more.