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
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.