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IEEE Standard for Technical Framework and Requirements of Trusted Execution Environment based Shared Machine Learning
IEEE Std 2830-2021
| contributor author | IEEE - The Institute of Electrical and Electronics Engineers, Inc. | |
| date accessioned | 2022-07-04T20:40:47Z | |
| date available | 2022-07-04T20:40:47Z | |
| date copyright | 22 Oct. 2021 | |
| date issued | 2021 | |
| identifier other | 9586768.pdf | |
| identifier uri | http://yse.yabesh.ir/std;quessioutho4703177793325273135A68A10958014A0F/handle/yse/312783 | |
| description abstract | The framework and architecture for machine learning in which a model is trained using encrypted data that has been aggregated from multiple sources and is processed by a trusted third party are defined in this standard. Functional components, workflows, security requirements, technical requirements, and protocols are specified in this standard. | |
| language | English | |
| title | IEEE Standard for Technical Framework and Requirements of Trusted Execution Environment based Shared Machine Learning | en |
| title | IEEE Std 2830-2021 | num |
| type | Standard | |
| page | 23 | |
| tree | IEEE - The Institute of Electrical and Electronics Engineers, Inc.:;2021 | |
| contenttype | Fulltext | |
| subject keywords | TEE | |
| subject keywords | trusted execution environment | |
| subject keywords | shared machine learning | |
| subject keywords | data fusion | |
| subject keywords | IEEE 2830 | |
| subject keywords | SML | |
| identifier DOI | 10.1109/IEEESTD.2021.9586768 |
