TFHE Gets Real: an Efficient and Flexible Homomorphic Floating-Point Arithmetic
Floating-point arithmetic plays a central role in computer science and is used in various domains where precision and computational scale are essential. One notable application is in machine learning, where Fully Homomorphic Encryption (FHE) can play a crucial role in safeguarding user privacy. In...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ruhr-Universität Bochum
2025-03-01
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| Series: | Transactions on Cryptographic Hardware and Embedded Systems |
| Subjects: | |
| Online Access: | https://tches.iacr.org/index.php/TCHES/article/view/12044 |
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