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This release is a pre-release and may not be stable for production use.


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SecretFlow is a unified framework for privacy-preserving data intelligence and machine learning. To achieve this goal, it provides:

  • An abstract device layer consists of plain devices and secret devices which encapsulate various cryptographic protocols.
  • A device flow layer modeling higher algorithms as device object flow and DAG.
  • An algorithm layer to do data analysis and machine learning with horizontal or vertical partitioned data.
  • A workflow layer that seamlessly integrates data processing, model training, and hyperparameter tuning.

Documentation

SecretFlow Related Projects

  • Kuscia: A lightweight privacy-preserving computing task orchestration framework based on K3s.
  • SCQL: A system that allows multiple distrusting parties to run joint analysis without revealing their private data.
  • SPU: A provable, measurable secure computation device, which provides computation ability while keeping your private data protected.
  • HEU: A high-performance homomorphic encryption algorithm library.
  • YACL: A C++ library that contains cryptography, network and io modules which other SecretFlow code depends on.

Install

Please check INSTALLATION.md

Deployment

Please check DEPLOYMENT.md

Learn PETs

We also provide a curated list of papers and SecretFlow's tutorials on Privacy-Enhancing Technologies (PETs).

Please check AWESOME-PETS.md

Contributing

Please check CONTRIBUTING.md

Benchmarks

Please check OVERALL_BENCHMARK.md

Disclaimer

Non-release versions of SecretFlow are prohibited from using in any production environment due to possible bugs, glitches, lack of functionality, security issues or other problems.

Metadata

Release files for secretflow-lite 1.5.0.dev20240304

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for secretflow-lite 1.5.0.dev20240304
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secretflow_lite-1.5.0.dev20240304-cp311-cp311-manylinux2014_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.17+ x86-64 Details
secretflow_lite-1.5.0.dev20240304-cp311-cp311-macosx_11_0_arm64.whl CPython 3.11 CPython 3.11 macOS 11.0+ ARM64 Details
secretflow_lite-1.5.0.dev20240304-cp311-cp311-macosx_10_16_x86_64.whl CPython 3.11 CPython 3.11 macOS 10.16+ x86-64 Details
secretflow_lite-1.5.0.dev20240304-cp310-cp310-manylinux2014_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ x86-64 Details
secretflow_lite-1.5.0.dev20240304-cp310-cp310-macosx_11_0_arm64.whl CPython 3.10 CPython 3.10 macOS 11.0+ ARM64 Details
secretflow_lite-1.5.0.dev20240304-cp310-cp310-macosx_10_16_x86_64.whl CPython 3.10 CPython 3.10 macOS 10.16+ x86-64 Details
secretflow_lite-1.5.0.dev20240304-cp39-cp39-manylinux2014_x86_64.whl CPython 3.9 CPython 3.9 Linux glibc 2.17+ x86-64 Details
secretflow_lite-1.5.0.dev20240304-cp39-cp39-macosx_11_0_arm64.whl CPython 3.9 CPython 3.9 macOS 11.0+ ARM64 Details
secretflow_lite-1.5.0.dev20240304-cp39-cp39-macosx_10_16_x86_64.whl CPython 3.9 CPython 3.9 macOS 10.16+ x86-64 Details

Total release size: 27.8 MB

Release files / secretflow_lite-1.5.0.dev20240304-cp311-cp311-manylinux2014_x86_64.whl

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Release files / secretflow_lite-1.5.0.dev20240304-cp311-cp311-macosx_11_0_arm64.whl

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Release files / secretflow_lite-1.5.0.dev20240304-cp310-cp310-manylinux2014_x86_64.whl

Download URL secretflow_lite-1.5.0.dev20240304-cp310-cp310-manylinux2014_x86_64.whl
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Release files / secretflow_lite-1.5.0.dev20240304-cp310-cp310-macosx_11_0_arm64.whl

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Release files / secretflow_lite-1.5.0.dev20240304-cp310-cp310-macosx_10_16_x86_64.whl

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This release
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