P2P Federated Learning

P2PFL is a general-purpose open-source library for the execution (simulated and in real environments) of Decentralized Federated Learning systems, specifically making use of P2P networks and the Gossisp protocol.

📥 Installation

See Installation for instructions on how to install P2PFL.

🎬 Quickstart

See Quickstart for a quick introduction to P2PFL.

👫 Contributing

See Contributing for instructions on how to contribute to P2PFL.

Also see the library design for more information about the design of the library.

📋 Index

• 📥 Installation
  • For users
  • For developers
• 🎬 Quickstart
  • PyTorch Quickstart
    • Other examples
  • TensorFlow Quickstart
• 👫 Contributing
  • How to contribute
    • Reporting bugs
    • Suggesting enhancements
    • Contributing code
  • Code style
  • License
  • Code of Conduct
• 🏛️ Library Design
  • Design Principles
  • General Overview
• 📚 Documentation
  • p2pfl package
    • Subpackages
      • p2pfl.learning package
    • Submodules
    • p2pfl.base_node module
      • BaseNode
    • p2pfl.messages module
      • LearningNodeMessages
      • NodeMessages
    • p2pfl.neighbors module
      • Neighbors
    • p2pfl.node module
      • Node
    • p2pfl.settings module
      • Settings
    • Module contents