| Technical framework and requirements for device-edge-cloud collaborative federated machine learning |
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Federated machine learning (FML) allows collaborative model training via parameter exchange, ensuring privacy and compliance. A device–edge–cloud framework, with edge servers as intermediaries, enhances accuracy, resource balance and scalability, requiring standardized protocols plus strategies for resource use, privacy and aggregation. Recommendation ITU-T F.748.62 introduces the framework and requirements for device-edge-cloud collaborative FML, and specifies its concept, procedure, requirements and use cases.
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ITU-T Recommendation |
Status |
Summary |
Table of Contents |
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1
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F.748.62 (12/2025)
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In force
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here
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here
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here
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Approved on |
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Guideline on web-based remote sign language interpretation or video remote interpretation (VRI) system
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2022
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here
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Application of software-defined cameras in the surveillance industry
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2022
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here
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Conformance test specification for ITU-T F.780.1
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2022
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Overview of assistive listening systems
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2020
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here
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Overview of remote captioning services
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2019
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here
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Telecommunications Accessibility Checklist
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2006
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here
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