[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0) [![CodeStyle](https://img.shields.io/badge/Check%20Style-Google-brightgreen)](https://checkstyle.sourceforge.io/google_style.html) [![Style](https://img.shields.io/badge/Check%20Style-Black-black)](https://checkstyle.sourceforge.io/google_style.html)
[中文](./README.zh.md)
FATE Flow is a multi-party federated task security scheduling platform for federated learning end-to-end pipeline
- [Shared-State Scheduling Architecture](https://storage.googleapis.com/pub-tools-public-publication-data/pdf/41684.pdf)
- Secure Multi-Party Communication Across Data Centers
Providing production-level service capabilities:
- Data Access
- Component Registry
- Federated Job&Task Scheduling
- Multi-Party Resource Coordination
- Data Flow Tracking
- Real-Time Job Monitoring
- Multi-Party Federated Model Registry
- Multi-Party Cooperation Authority Management
- High Availability
- CLI, REST API, Python API
## Deployment
Please refer to [FATE](https://github.com/FederatedAI/FATE)
## Documentation
The official FATE Flow documentation is here [https://federatedai.github.io/FATE-Flow/latest/](https://federatedai.github.io/FATE-Flow/latest/)
## License
[Apache License 2.0](LICENSE)
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