High-Speed Convolution Core Architecture for Privacy-Preserving Neural Networks
Due to legal restrictions or restrictions related to companies' internal information policies, businesses often do not trust sensitive information to public cloud providers. One of the mechanisms to ensure the security of sensitive data in clouds is homomorphic encryption. Privacy-preserving ne...
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| 主要な著者: | , , , , , |
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| フォーマット: | Статья |
| 言語: | English |
| 出版事項: |
Pleiades Publishing
2024
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| 主題: | |
| オンライン･アクセス: | https://dspace.ncfu.ru/handle/123456789/29339 |
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