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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....

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijät: Babenko, M. G., Бабенко, М. Г.
Aineistotyyppi: Статья
Kieli:English
Julkaistu: Springer Science and Business Media Deutschland GmbH 2021
Aiheet:
Linkit:https://dspace.ncfu.ru/handle/20.500.12258/14783
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