Metadata-Version: 2.1
Name: fate-flow
Version: 2.2.0
Summary: UNKNOWN
Home-page: https://fate.fedai.org/
Author: FederatedAI
Author-email: contact@FedAI.org
License: Apache-2.0 License
Description: [![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)
        
Keywords: federated learning scheduler
Platform: UNKNOWN
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Provides-Extra: rabbitmq
Provides-Extra: pulsar
Provides-Extra: spark
Provides-Extra: eggroll
Provides-Extra: fate_flow
