Recent Releases of phe
phe - v1.5.1
What's Changed
- Fix issues with overflows by @nbgl in https://github.com/data61/python-paillier/pull/73
- Default keysize increased to 3072 by @hardbyte in https://github.com/data61/python-paillier/pull/66
- Using gmpy2's mulmod to accelerate the mulmod operation by @tanjuntao in https://github.com/data61/python-paillier/pull/99
Updates to examples
- federated learning example by @wilko77 in https://github.com/data61/python-paillier/pull/64
- make learning rate independent of dataset size by @wilko77 in https://github.com/data61/python-paillier/pull/69
New Contributors
- @tanjuntao made their first contribution in https://github.com/data61/python-paillier/pull/99
Full Changelog: https://github.com/data61/python-paillier/compare/1.4.0...1.5.0
- Python
Published by hardbyte almost 4 years ago
phe - v1.4.0
Version 1.4.0 (2018-04-19)
Complete pure Python fallback implementation.
Features
invertnow available withoutgmpy2, implemented using the extended Euclidean algorithm (extended_euclidean_algorithm)getprimeovernow available withoutgmpy2, along with a probabilitic primality testisprimebased on the Miller-Rabin test (miller_rabin)
Many thanks to Quentin Santos for this contribution.
- Python
Published by gusmith almost 8 years ago
phe - 1.3.0
Version 1.3.0 (2017-02-08)
Changes to enhance performance. Using Chinese Remainder Theorem for faster decryption. Exploit property of the generator to speed up encryption.
Note both the api and the serialisation has changed.
- A private key now has a p and q attribute instead of lambda and mu. To
continue being able to create a private key using the totient use the
PaillierPrivateKey.from_totient static constructor.
- The serialization and constructor of a public key now only requires n.
- Python
Published by hardbyte about 9 years ago