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1.
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Clear description of the referenced document:
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Name:
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IEEE Std 3652.1-2020
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Title:
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IEEE Guide for Architectural Framework and Application of Federated Machine Learning
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2.
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Status of approval:
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Approved standard.
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3.
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Justification for the specific reference:
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IEEE Std 3652.1-2020 provides the architectural framework and application guidelines for federated machine learning. These are useful for ITU to consider the working mechanism and management requirements for federated machine learning systems.
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4.
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Current information, if any, about IPR issues:
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STANDARDS PERMISSION: https://standards.ieee.org/ipr/stdspermission/
Requesting permission for use of approved IEEE standards: https://standards.ieee.org/ipr/copyright-permissions-form/
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5.
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Other useful information describing the "Quality" of the document:
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None.
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6.
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The degree of stability or maturity of the document:
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IEEE Std 3652.1-2020 is approved on 24-09-2020, and is published on 19-03-2021. The definitions: Federated machine learning, Federated machine learning model, Auditor, Coordinator, Data owner, Feature, Data quality, Data set, Raw data, Encryption, Training. These have defined in IEEE Std 3652.1-2020 for more than 3 years and they are useful for ITU to consider the working mechanism and management requirements for federated machine learning systems.
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7.
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Relationship with other existing or emerging documents:
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None.
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8.
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Any explicit references within that referenced document should also be listed:
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None. IEEE Std 3652.1-2020 has no reference in its document.
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9.
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Qualification of
IEEE:
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The IEEE was recognized under the provisions of ITU-T Recommendation A.5 on 1 November 1999. Qualifying information is on file with TSB.
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10.
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Other (for any supplementary information):
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https://standards.ieee.org/.
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