Table of Contents - F.748.35 (06/2024) - Requirement and framework of trustworthy federated machine learning based service

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 trustworthy FML-based services
7	General characteristics and requirements of trustworthy FML-based services
	7.1	General characteristics of trustworthy FML-based services
	7.2	General requirements of trustworthy FML-based services
8	Reference framework of trustworthy FML-based services
	8.1	Functional components of FML coordinators
	8.2	Functional components of FML participants
	8.3	External entities
	8.4	Reference points
Appendix I – Challenges and impact factors for trustworthiness of FML-based services
	I.1	Dataset provision for FML model training
	I.2	Computing for FML model training
	I.3	Communication for FML model training
	I.4	Model utilization of FML model
Appendix II – Use cases of trustworthy FML-based services
	II.1	Trustworthy FML-based services in autonomous driving environment
Bibliography