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.
| 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 |
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.
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