APPFL
stable

Getting Started

  • Installation
  • Tutorials
    • First run: MNIST
    • Notebooks
    • On Google Cloud Platform
    • How to Run on GPU Cluster

Users Guide

  • How to run PPFL
  • User-defined model
  • User-defined dataset
  • How to set configuration
  • Implemented FL Algorithms
  • Loading and saving models
  • Logging and recording FL results

Developers Guide

  • How to contribute
  • How to add new algorithms
  • How to test code
  • Documentation
  • Release Guide
APPFL
  • Tutorials
  • Edit on GitHub

Tutorials

We present a collection of tutorials for APPFL framework.

  • First run: MNIST
  • Notebooks
    • Simulation of Federated Learning
    • How to set configuration
    • How to run with gRPC
  • On Google Cloud Platform
    • How to run with Endpoints for Compute Engine with ESP
    • How to run on Cloud Run
    • Creating a Google project
    • Preparing a Docker container
    • Deploying the Docker container to the cloud
  • How to Run on GPU Cluster
    • Preparing Training
    • Loading Modules
    • Creating Conda Environment and Installing APPFL
    • Modifying Dependencies for CUDA Support
    • Creating Batch Script
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© Copyright 2023, Argonne National Laboratory. Revision 218053b8.

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