Metadata-Version: 2.1
Name: testabc
Version: 1.13.0
Home-page: https://fate.fedai.org/
Author: FederatedAI
Author-email: contact@FedAI.org
License: Apache-2.0 License
Keywords: federated learning scheduler
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Provides-Extra: rabbitmq
Provides-Extra: pulsar
Provides-Extra: spark
Provides-Extra: eggroll
Provides-Extra: all

[![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)
