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Work item:
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Y.Sup.ICN-DTI
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Subject/title:
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Supplement to ITU-T Y.3086: Information-centric networking: Additional capabilities and functional enhancements for distributed training and inference
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Status:
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Under study
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Approval process:
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Agreement
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Type of work item:
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Supplement
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Version:
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New
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Equivalent number:
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-
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Timing:
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2027-10 (High priority)
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Liaison:
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-
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Supporting members:
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Shanghai Advanced Research Institute, Chinese Academy of Sciences (SARI, CAS),
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Summary:
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As machine learning (ML) and artificial intelligence (AI) applications grow, training and inference are transitioning from centralized processing to distributed execution across terminal, edge, and cloud environments. [ITU-T Y.3086] outlines the general requirements for Information-Centric Networking (ICN) to support ML, focusing on data, model, and service life-cycle management. Although Y.3086 already touches on aspects of distributed execution, some provisions remain principle-oriented and are difficult to implement consistently in cross-node collaborative networks. Without changing the baseline framework of Y.3086, further clarifications and implementation-oriented supplements are needed, grounded in the execution-layer characteristics of distributed training and inference, so that Y.3086 can better support runtime object interactions, state exchanges, and chained execution across continuously coordinated multi-node scenarios. In distributed environments, training typically follows long-term iterative optimization centered on data aggregation and parameter synchronization, while inference forms context-driven, multi-stage collaborative execution chains. Accordingly, this Supplement builds on the ICN-ML framework of Y.3086, provides supplementary clarifications for relevant capabilities, and offers compatible, overlayable additional capabilities and functional enhancements for references.
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Comment:
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-
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Reference(s):
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Historic references:
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Contact(s):
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First registration in the WP:
2026-03-06 15:54:10
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Last update:
2026-03-10 09:32:18
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