shazi4399 / secretflow

A unified framework for privacy-preserving data analysis and machine learning

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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
  • Getting Started
  • Components
  • API Reference
  • Tutorial

Install

Please check INSTALLATION.md

Deployment

Please check DEPLOYMENT.md

Contributing

Please check CONTRIBUTING.md

Disclaimer

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