Table of Contents - F.748.24 (04/2024) - Trusted contribution evaluation framework on federated machine learning services

1	Scope
2	References
3	Definitions
	3.1	Terms defined elsewhere
	3.2	Terms defined in this Recommendation
4	Abbreviations and acronyms
5	Conventions
6	Overview of a contribution evaluation service for federated machine learning services
7	Characteristics and requirements of a contribution evaluation service for FML services
	7.1	Characteristic of contribution evaluation service for FML services
	7.2	Common requirements of a contribution evaluation service for FML services
8	Reference framework of a contribution evaluation service for FML services
	8.1	FML service agent
	8.2	Data collection-functional component
	8.3	Contribution calculator-functional component
	8.4	ML model management-functional component
	8.5	DLT agent-functional component
	8.6	Task management-functional component
9	Common capabilities of a contribution evaluation service for FML services
	9.1	Data storage of FML services
	9.2	Identity registration of FML services
	9.3	FML model-training task registration of FML services
	9.4	FML model-training task execution (one-time computation)
	9.5	FML model-training task execution (multiple repetitive computation)
	9.6	Evaluation of FML model-training task contribution
10	General functional components of coordinators of and participants in FML training
	10.1	FML training coordinator
	10.2	FML training participant
11	Security consideration
Appendix I – Use cases of a contribution evaluation service for FML services
Bibliography