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Work item:
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Y.4494 (ex Y.CDML-arc)
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Subject/title:
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Reference architecture of collaborative decentralized machine learning for intelligent IoT services
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Status:
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Approved on 2023-11-29 [Issued from previous study period]
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Approval process:
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AAP
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Type of work item:
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Recommendation
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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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-
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Liaison:
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IEEE, ISO/IEC JTC1 SC42
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Supporting members:
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China Mobile, ZTE, China Unicom, BUPT, NUPT
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Summary:
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A collaborative decentralized machine learning (CDML) architecture can support ML model distributed training and inference across highly heterogeneous and resource-constrained IoT devices, which results in less latency, higher reliability, lower energy consumption, and saving bandwidth resources. With using CDML, spare resources across decentralized IoT devices can be fully used to perform computation-intensive ML tasks collaboratively with high performance.
This Recommendation introduces collaborative decentralized machine learning (CDML) for intelligent IoT services, and provides the characteristics and reference architecture of CDML for intelligent IoT services.
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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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| ITU-T A.5 justification(s): |
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First registration in the WP:
2020-11-18 19:07:31
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Last update:
2025-03-19 21:44:47
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