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2.5.0

Introduction

  • What is Federated Learning?
  • NVIDIA FLARE Overview
  • What’s New
  • Getting Started

Guides

  • Example Applications
    • 1. Hello World Examples
      • Hello World Examples
        • Deep Learning to Federated Learning (GitHub)
        • Step-by-Step Examples (GitHub)
        • Hello FedAvg with NumPy
        • Hello Cross-Site Validation
        • Hello Cyclic Weight Transfer (GitHub)
        • Hello PyTorch with Job API
        • Hello TensorFlow with Job API
        • Hello Client Controlled Workflow (GitHub)
      • 1.1. Deep Learning to Federated Learning
      • 1.2. Workflows
      • 1.3. Deep Learning
    • 2. Step-By-Step Example Series
    • 3. Tutorial Notebooks
    • 4. Federated Learning Algorithms
    • 5. Privacy Preserving Algorithms
    • 6. Traditional ML examples
    • 7. Medical Image Analysis
    • 8. Federated Statistics
    • 9. Federated Site Policies
    • 10. Experiment Tracking
    • 11. Natural Language Processing (NLP)
    • 12. FL Hierarchical Unification Bridge (HUB)
    • 13. Federated Large Language Model (LLM)
    • 14. Graph Neural Network (GNN)
    • 15. Financial Applications
    • Setting up a virtual environment for examples and notebooks
    • Custom Code in Example Apps
  • Real-World Federated Learning
  • User Guide
  • Programming Guide
  • Programming Best Practices

Miscellaneous

  • Frequently Asked Questions
  • Publications and Talks
  • Contributing
  • API
  • Glossary
NVIDIA FLARE
  • Example Applications
  • Hello World Examples
  • Edit on GitHub

Hello World Examples¶

Hello World examples can be run from the hello_world notebook.

  • Deep Learning to Federated Learning (GitHub)
  • Step-by-Step Examples (GitHub)
  • Hello FedAvg with NumPy
    • Before You Start
    • Introduction
    • NVIDIA FLARE Job API
      • Define a FedJob
      • Define the Controller Workflow
      • Add Clients
      • Optionally Export the Job or Run in Simulator
    • NVIDIA FLARE Client Training Script
    • Running the Job API Script
    • Previous Versions of this Example (previously Hello Scatter and Gather)
  • Hello Cross-Site Validation
    • Before You Start
    • Prerequisite
    • Introduction
    • Training
    • Implementing the Validator
      • Application Configuration
    • Cross site validation!
      • Running the FL System
      • Understanding the Output
      • Accessing the results
      • Shutdown FL system
    • Previous Versions of Hello Cross-Site Validation
  • Hello Cyclic Weight Transfer (GitHub)
  • Hello PyTorch with Job API
    • Before You Start
    • Introduction
    • NVIDIA FLARE Job API
    • NVIDIA FLARE Client Training Script
      • Neural Network
      • Dataset & Setup
      • Local Train
    • NVIDIA FLARE Server & Application
      • Client Configuration
    • Previous Versions of Hello PyTorch
  • Hello TensorFlow with Job API
    • Before You Start
    • Introduction
    • NVIDIA FLARE Job API
    • NVIDIA FLARE Client Training Script
      • Neural Network
      • Dataset & Setup
      • Client Local Train
    • NVIDIA FLARE Server & Application
      • Client Configuration
    • Previous Versions of Hello TensorFlow (previously Hello TensorFlow 2)
  • Hello Client Controlled Workflow (GitHub)
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