IEEE 3652.1-2020 - IEEE Guide for Architectural Framework and Application of Federated Machine Learning
Standard Details
Federated machine learning defines a machine learning framework that allows a collective model to be constructed from data that is distributed across repositories owned by different organizations or devices. A blueprint for data usage and model building across organizations and devices while meeting applicable privacy, security and regulatory requirements is provided in this guide. It defines the architectural framework and application guidelines for federated machine learning, including description and definition of federated machine learning; the categories federated machine learning and the application scenarios to which each category applies; performance evaluation of federated machine learning; and associated regulatory requirements.
Sponsor Committee
Status
Board Approval
History
Additional Resources Details
Working Group Details
Working Group
Working Group Chair
Sponsor Committee
Society
IEEE Program Manager