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- Y.3172 is an ITU-T Recommendation specifying an architecture for machine learning in future networks including 5G (IMT-2020). 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. 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. The Recommendation Y.3173 builds upon Y.3172 by specifying a framework for evaluation intelligence levels of future networks. (en)
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- 5821 (xsd:nonNegativeInteger)
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- Architectural framework for machine learning in future networks including IMT-2020 (en)
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- Y.3172 is an ITU-T Recommendation specifying an architecture for machine learning in future networks including 5G (IMT-2020). 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. The Recommendation Y.3173 builds upon Y.3172 by specifying a framework for evaluation intelligence levels of future networks. (en)
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