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A comment on TFHE: Fast Fully Homomorphic Encryption over the Torus.

Re:TFHE: Fast Fully Homomorphic Encryption over the Torus by physicsyogi on Monday April 13, 2020 @11:31AM (#22856704)
Since TFHE does the encryption at the binary level, it looks like it would need to also work on the float level to be useful for a lot of data science/machine learning use cases. I could be wrong though.
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Re:TFHE: Fast Fully Homomorphic Encryption over the Torus by malux85 on Monday April 13, 2020 @12:44PM (#22857410)
If you can do binary, then you can represent floating point numbers, no?
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Re:TFHE: Fast Fully Homomorphic Encryption over the Torus by nindanaoto on Tuesday April 14, 2020 @10:08AM (#22866141)
TFHE is known to be switchable between other RLWE based Homomorphic Encryption. https://eprint.iacr.org/2018/758 Glyph applied it to accelerate deep learning, but they use integer level, not float. https://arxiv.org/abs/1911.07101

AFAIK, Homomorphic Encryption which supports floating point arithmetic is not known. Fixed point one is known, CKKS. https://github.com/snucrypto/HEAAN

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