Пропуск в контексте

LR-GD-RNS: Enhanced privacy-preserving logistic regression algorithms for secure deployment in untrusted environments

The protection of data processing is emerging as an essential aspect of data analytics, machine learning, delegation of computation, Internet of Things, medical and financial analysis, smart cities, genomics, non-disclosure searching, among others. Often, they use sensitive information that cannot b...

全面介紹

Сохранить в:
書目詳細資料
Главные авторы: Babenko, M. G., Бабенко, М. Г.
格式: Статья
語言:English
出版: Institute of Electrical and Electronics Engineers Inc. 2021
主題:
在線閱讀:https://dspace.ncfu.ru/handle/20.500.12258/18170
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!