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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| Autori principali: | , , , , , |
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| Natura: | Статья |
| Lingua: | English |
| Pubblicazione: |
Pleiades Publishing
2024
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| Soggetti: | |
| Accesso online: | https://dspace.ncfu.ru/handle/123456789/29339 |
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