NVIDIA FLARE
2.3
  • NVIDIA FLARE Overview
  • What’s New
  • Key Features
  • Getting Started
  • Example Applications
    • Hello World Examples
    • Tutorial Notebooks
    • FL Algorithms
    • Traditional ML Examples
      • Federated Linear Model with Scikit-learn (GitHub)
      • Federated K-Means Clustering with Scikit-learn (GitHub)
      • Federated SVM with Scikit-learn (GitHub)
      • Federated Learning for Random Forest based on XGBoost (GitHub)
    • Medical Image Analysis
    • Federated Statistics
    • Federated Site Policies (GitHub)
    • TensorBoard Streaming
    • Setting up a virtual environment for examples and notebooks
    • Custom Code in Example Apps
    • Federated Learning Algorithms
  • Real-World Federated Learning
  • User Guide
  • Programming Best Practices
  • Programming Guide
  • Frequently Asked Questions
  • Publications and Talks
  • Contributing
  • API
  • Glossary
NVIDIA FLARE
  • Example Applications
  • Traditional ML Examples
  • Edit on GitHub

Traditional ML Examples¶

  • Federated Linear Model with Scikit-learn (GitHub)
  • Federated K-Means Clustering with Scikit-learn (GitHub)
  • Federated SVM with Scikit-learn (GitHub)
  • Federated Learning for Random Forest based on XGBoost (GitHub)
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