| 设备 – 边缘 – 云协作联邦机器学习的技术框架和要求 |
联邦机器学习（FML）允许通过参数交换进行协作模型训练，确保隐私性和合规性。以边缘服务器为中介的设备 – 边缘-云框架增强了准确性、资源平衡和可扩展性，需要标准化协议以及资源使用、隐私和聚合策略。ITU-T F.748.62建议书介绍了设备 – 边缘 – 云协作FML的框架和要求，并规定了其概念、程序、要求和用例。 |
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| Ed. |
ITU-T Recommendation |
Status |
Summary |
Table of Contents |
Download |
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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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| Title |
Approved on |
Download |
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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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