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ITU-T recommendation From Wikipedia, the free encyclopedia
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.[2]
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 |
Related standards | Y.3173, Y.3174, Y.3176, Y.3179, Y.3181 |
Domain | machine learning, 5G |
License | Freely available |
Website | www |
A set of architectural requirements and specific architectural components needed to satisfy these requirements are presented. This includes i.a., machine learning pipeline as well as machine learning management and orchestration functionalities. Additionally, the standard describes the integration of such components into future networks including IMT-2020 as well as guidelines for applying this architectural framework in a variety of technology-specific underlying networks.[3]
The Recommendation Y.3173 builds upon Y.3172 by specifying a framework for evaluation intelligence levels of future networks.[4]
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.[1]
Based on Y.3172 ITU launched an AI/ML 5G Challenge, on implementing this architecture.[5]
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