Privacy-preserving logistic regression as a cloud service based on residue number system
The security of data storage, transmission, and processing is emerging as an important consideration in many data analytics techniques and technologies. For instance, in machine learning, the datasets could contain sensitive information that cannot be protected by traditional encryption approaches....
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| Главные авторы: | , |
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| 格式: | Статья |
| 語言: | English |
| 出版: |
Springer Science and Business Media Deutschland GmbH
2021
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| 主題: | |
| 在線閱讀: | https://dspace.ncfu.ru/handle/20.500.12258/14783 |
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