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[2017-2020] : [SG13] : [Q20/13]

[Declared patent(s)]  - [Publication]

Work item: Y.3172 (ex Y.IMT2020-ML-Arch)
Subject/title: Architectural framework for machine learning in future networks including IMT-2020
Status: Approved on 2019-06-22 
Approval process: AAP
Type of work item: Recommendation
Version: New
Equivalent number: -
Timing: -
Liaison: -
Supporting members: -
Summary: This document specifies an architectural framework for machine learning (ML) in future networks including IMT-2020. A set of architectural requirements and specific architectural components needed to satisfy these requirements are presented. These components include, but are not limited to, ML pipeline as well as ML management and orchestration functionalities. The integration of such components into future networks including IMT-2020 and guidelines for applying this architectural framework in a variety of technology-specific underlying networks are also described.
Comment: Based on the FG-ML5G Deliverables
Reference(s):
  Historic references:
Contact(s):
Qi Sun, Editor
Wei Meng, Editor
Navneet Agrawal, Editor
Vishnu Ram OV, Editor
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First registration in the WP: 2019-03-04 13:28:53
Last update: 2022-01-21 09:50:13