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ITU-T work programme

[2022-2024] : [SG13] : [Q20/13]

[Declared patent(s)]  - [Associated work]

Work item: Y.ML-IMT2020-MLFO
Subject/title: Architectural Framework for Machine learning function orchestrator in future networks including IMT-2020
Status: Under study [Issued from previous study period]
Approval process: AAP
Type of work item: Recommendation
Version: New
Equivalent number: -
Timing: 2024-Q3 (High priority)
Liaison: ITU-T SG9, ITU-T SG16, ETSI ENI, ETSI ZSM
Supporting members: China Mobile, ZTE, China Unicom
Summary: This Recommendation provides an architectural framework for machine learning function orchestrator (MLFO) in future networks including IMT-2020. More precisely, it describes requirements and high-level architecture for MLFO in future networks including IMT-2020
Comment: Based on the FG-ML5G Deliverables
Reference(s):
  Historic references:
Contact(s):
Liya Yuan, Editor
Vijay Kumar Roy, Editor
Ranjana Sivaram, Editor
Qi Sun, Editor
Vishnu Ram OV, Editor
ITU-T A.5 justification(s):
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First registration in the WP: 2020-08-04 16:42:58
Last update: 2024-04-30 10:45:19