Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities
Classical machine learning modeling demands considerable computing power for internal calculations and training with big data in a reasonable amount of time. In recent years, clouds provide services to facilitate this process, but it introduces new security threats of data breaches. Modern encryptio...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , |
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| Μορφή: | Статья |
| Γλώσσα: | English |
| Έκδοση: |
Springer
2021
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| Θέματα: | |
| Διαθέσιμο Online: | https://dspace.ncfu.ru/handle/20.500.12258/15562 |
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