Table of contents - ITU-T Y.3224 (08/2025) - Fixed, mobile and satellite convergence – Requirements and framework for in-network aggregated federated learning for enabling artificial intelligence in IMT-2020 networks and beyond

Table of Contents - Y.3224 (08/2025) - Fixed, mobile and satellite convergence – Requirements and framework for in-network aggregated federated learning for enabling artificial intelligence in IMT-2020 networks and beyond

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	General considerations for in-network aggregated FL in FMSC
	6.1	Overview
	6.2	In-network aggregation operation
7	Requirements for the InNetFL framework for enabling AI in FMSC
	7.1	General requirements for the InNetFL framework
	7.2	Requirements for the InNetFL node in FMSC
	7.3	Requirements for the ML model of the InNetFL framework in FMSC
	7.4	Requirements for InNetFL model aggregation in FMSC
	7.5	Requirements for privacy and security of the InNetFL framework in FMSC
	7.6	Requirements for cross-domain interface of the InNetFL framework in FMSC
8	Framework for InNetFL for enabling AI in FMSC
	8.1	The top-level overview of the InNetFL framework in FMSC
	8.2	ML management function of the InNetFL framework in FMSC
9	Security considerations
Appendix I – Examples of use cases and scenarios of InNetFL to enable AI in the FMSC network
Bibliography