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No Superseded Standards
No Inactive-Withdrawn Standards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