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Solution for deploying and managing end-to-end federated learning workflows

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MiKKiYang/FATE-Flow

 
 

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FATE Flow is a multi-party federated task security scheduling platform for federated learning end-to-end pipeline

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

Deployment

Please refer to FATE

Documentation

The official FATE Flow documentation is here https://federatedai.github.io/FATE-Flow/latest/

License

Apache License 2.0

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Solution for deploying and managing end-to-end federated learning workflows

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