Table of Contents - Y Suppl. 94 (11/2025) - ITU-T Y.2300-series – Use cases of network resource sharing based on distributed ledger technology for supporting large-scale deep learning models

1	Scope
2	References
3	Definitions
	3.1	Terms defined elsewhere
	3.2	Terms defined elsewhere in this Supplement
4	Abbreviations and acronyms
5	Conventions
6	General considerations of NRS-DLT for large-scale deep learning models
	6.1	NRS-DLT
	6.2	Large-scale deep learning model
	6.3	Overview of NRS-DLT for Large-scale deep learning model
7	Use cases and network expectations of NRS-DLT for large-scale deep learning models
	7.1	Use case and network expectations of NRS-DLT for large-scale deep learning models deployment
	7.2	Use case and network expectations of remote communication delay statistics
	7.3	Use case and network expectations of NRS DLT for high-efficiency parameters synchronization
	7.4	Use case and network expectations of validation for completion of distributed training tasks
8	Security considerations
Bibliography