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Work item:
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Y.CSDL
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Subject/title:
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Requirements and framework for crowdsourced system based on distributed learning
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Status:
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Under study [Issued from previous study period]
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Approval process:
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TAP
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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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2025-Q3 (Medium priority)
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Liaison:
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ITU-T SG16
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Supporting members:
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China Unicom, Huazhong University of Science & Technology, China Mobile, ZTE
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Summary:
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Building up distributed learning mode for crowdsourced system and enhance the crowdsourced service data security is important. The realization of crowdsourced system based on distributed learning can provide intelligent cooperation capabilities between crowdsourced resources and reduce bandwidth consumption and transmission time consumption.
This recommendation specifies the requirements and framework for crowdsourced system based on distributed learning in order to solve the distributed model parallelism and data parallelism issues for complex crowdsourced task, crowdsourcing worker nodes communication strategy under distributed learning, coordination mode of heterogeneous models and data.
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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:
2023-02-16 11:44:24
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Last update:
2025-01-29 14:54:40
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