[![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 For detailed introduction, please refer to [FATE Flow Overall Design](https://federatedai.github.io/FATE-Flow/latest/fate_flow/#overall-design) ## 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)