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Work item:
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Y.3224 (ex Y.FMSC-InNetFL)
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Subject/title:
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Fixed, mobile and satellite convergence - Requirements and framework for in-network aggregated federated learning for enabling AI in IMT-2020 networks and beyond
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Status:
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Approved on 2025-08-29 [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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3GPP, ITU-R
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Supporting members:
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Hankuk University of Foreign Studies (HUFS), KT, ETRI, China Mobile
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Summary:
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Fixed, mobile and satellite convergence (FMSC) is the capability that provides services and applications to end users regardless of the fixed, mobile or satellite access technologies being used. This Recommendation specifies the requirements and framework for in-network aggregated federated learning (FL) to enable artificial intelligence (AI) in FMSC networks. In-network aggregated FL will enhance the network capability in FMSC to reduce the outgoing data traffic from the lower network entities, consume less bandwidth, and enable more efficient model aggregation over multi-hop networks under limited communication resources.
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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:
2022-12-02 16:33:25
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Last update:
2025-07-28 17:26:16
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