Y.3172

Y.3172
	Architectural framework for machine learning in future networks including IMT-2020
Status	In force
Year started	2019
Latest version	(06/19); June 2019
Organization	ITU-T
Committee	ITU-T Study Group 13, Focus Group on Machine Learning in 5G
Domain	machine learning, 5G
Website	www.itu.int/rec/T-REC-Y.3172

Y.3172 is an ITU-T Recommendation specifying an architecture for machine learning in future networks including 5G (IMT-2020).[1] The architecture describes a machine learning pipeline in the context of telecommunication networks that involves the training of machine learning models, and also the deployment using methods such as containers and orchestration.

History

At the 2017 AI for Good summit the idea for a Focus Group on Machine Learning for 5G (FG-ML5G) arose, similar to the way the summit gave rise the ITU-WHO Focus Group on Artificial Intelligence for Health. The Focus Group finalized the standard in May 2019 and submitted it to ITU-T Study Group 13 (its parent body) for adoption as an ITU-T Recommendation, which happened in June 2019.[2]

References

"Y.3172: Architectural framework for machine learning in future networks including IMT-2020". www.itu.int. Archived from the original on 2019-07-03. Retrieved 2019-07-05.
ITU (2019-08-20). "New ITU standard to introduce Machine Learning into 5G networks". ITU News. Archived from the original on 2019-10-30. Retrieved 2019-11-12.

External links

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[1] "Y.3172: Architectural framework for machine learning in future networks including IMT-2020". www.itu.int. Archived from the original on 2019-07-03. Retrieved 2019-07-05.

[2] ITU (2019-08-20). "New ITU standard to introduce Machine Learning into 5G networks". ITU News. Archived from the original on 2019-10-30. Retrieved 2019-11-12.