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APPFL documentation
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APPFL documentation
  • Installation
  • Tutorials
    • Quickstart
    • Example Notebooks
      • FL Configurations
      • Serial FL Simulation
      • Run FL over secure RPC
        • FL Server over Secure RPC
        • FL Client over Secure RPC
      • FL with compression
    • Example: Simulation on GPU cluster
    • Example: Launch server on AWS EC2
    • Example: SSL Encrypted gRPC Communication
    • Example: Finetune a Vision Transformer model
    • Example: Run FL Experiment using Globus Compute
    • Example: Run FL Experiment using Ray
    • Running Experiment
    • Example: Using Weights & Biases
    • Example: Add a Custom Action
    • Example: Running a Batched MPI Example
    • Example: Running APPFL using MONAI Bundle
    • APPFLx Tutorial
      • Log in/Sign up
      • Create Federation
      • Client Configuration
      • Start Experiments
      • Check Experiment Results
      • Endpoint Installation
      • Endpoint Installation Using WSL
    • [Deprecated] Tutorials for APPFL V0
      • First run: MNIST
      • Notebooks
        • How to simulate FL
        • How to run FL over secure RPC
          • FL Server over Secure RPC
          • FL Client over Secure RPC
  • User Guide
    • APPFL Components
      • APPFL Server Agent
      • APPFL Client Agent
      • APPFL Communicator
      • APPFL Aggregator
      • APPFL Scheduler
      • APPFL Trainer
      • APPFL Privacy
      • APPFL Compressor
    • Basic PPFL Training
      • Simulating PPFL (Serial)
      • Simulating PPFL (MPI)
      • Training PPFL
      • How to define model
      • How to define loss
      • How to define metric
      • How to load datasets
    • Developer Guide
      • Adding new aggregators
      • Adding new schedulers
      • Adding new trainers
      • Defining your server agent
      • Documentation
      • Release Guide
    • [DEPRECATED] Guide for APPFL v0
      • Basic PPFL Training
        • Simulating PPFL
        • Training PPFL
        • How to define model
        • How to define datasets
      • More PPFL Algorithms
        • Synchronous algorithms
        • Asynchronous algorithms
        • Personalization algorithms
        • Privacy-preserving algorithms
      • Model Compression
      • Checkpointing
      • Logging
  • Community
  • Contributing
  • Publications
  • Changelog
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APPFLx TutorialΒΆ

We present a tutorial for using the APPFLx web application (appflx.link or service.appfl.ai) to launch a federated learning experiment.

  • Log in/Sign up
  • Create Federation
  • Client Configuration
  • Start Experiments
  • Check Experiment Results
  • Endpoint Installation
  • Endpoint Installation Using WSL
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Example: Running APPFL using MONAI Bundle
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Last updated on 2025-03-12T15:55:00+0000 (723f631)