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pfl 0.3.1 documentation
pfl 0.3.1 documentation

Getting Started:

  • Federated learning with pfl
  • Fast distributed simulations

Support

  • Installation
  • Contributing

Reference

  • Algorithms
  • Backend
  • Aggregator
  • Data transport
  • Weighting
  • Callbacks
  • Types
  • Context
  • Data
  • Exception
  • Hyperparameters
  • Metrics
  • Models
  • Postprocessor
  • Differential privacy
  • Training statistics
  • Gradient boosted decision trees
  • Environment variables
  • Internal API
    • Bisect
    • Bridges
    • Distribution
    • Ops
    • Platform
    • Privacy loss bound
    • Tree
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