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FederatedCryptix

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1.0.0 FederatedCryptix-1.0.0-py3-none-any.whl

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Project: FederatedCryptix
Version: 1.0.0
Filename: FederatedCryptix-1.0.0-py3-none-any.whl
Download: [link]
Size: 6504
MD5: 10f78ded62d0f0b5dd777c3641865e9c
SHA256: 3683ca04ea3ffd2ac4c61af2c6da1d092512b102ed0ce74fc1cffd82a11092df
Uploaded: 2024-08-01 09:55:09 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: FederatedCryptix
Version: 1.0.0
Summary: FederatedCryptix is an innovative and modular framework designed for federated learning with a strong focus on cryptographic security.
Author: Mehrdad Javadi
Author-Email: mehrdaddjavadi[at]gmail.com
Home-Page: https://github.com/mehrdaddjavadi/FederatedCryptix
Keywords: federated learning,machine learning,deep learning,active learning,encryption,homomorphic encryption,FederatedCryptix
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.6
Requires-Dist: numpy
Requires-Dist: tensorflow
Requires-Dist: websockets
Requires-Dist: pytest
Requires-Dist: tenseal
Description-Content-Type: text/markdown
[Description omitted; length: 924 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.43.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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clients/client_device.py sha256=LAmKH78pCBM4WFTszQEAq3pQ7mtlo7HTFk4THYOqDGI 1562
communication/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
communication/connection.py sha256=5F4Fi8Gw1nHYuYB0Zte9fwUBb4lQnXX5698RtNJII1w 952
encryption/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
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models/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
models/abstract_model.py sha256=CvbQnKI3PTEBfAs6NodcudIr2sRmTtm6dGGfOokJpr8 1085
models/pytorch_model.py sha256=Xz79Mb3Ky7N6fSdBiuYpdsZumCUn_WSWRD8Gb1B27CU 1845
models/tensorflow_model.py sha256=CvbQnKI3PTEBfAs6NodcudIr2sRmTtm6dGGfOokJpr8 1085
utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
utils/decorators.py sha256=nbi06rPx6CyoE9AWp2f_ME4qHBNwQH3FsYtQh1_I5Co 707
FederatedCryptix-1.0.0.dist-info/METADATA sha256=BHDagqiABDvKlO8l21a145LOdbNtzxoa28MRMlmrHX8 2219
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FederatedCryptix-1.0.0.dist-info/RECORD — —

top_level.txt

clients
communication
encryption
models
utils