P2P Federated Learning

P2PFL is a decentralized federated learning library that enables federated learning on peer-to-peer networks using gossip protocols, making collaborative AI model training possible without reliance on central servers.

🤗 Community

Have questions, need help, or want to contribute? Join our Slack community!

Slack

🏁 Getting Started

  • 📘 Introduction: Learn about the P2PFL ecosystem and its core concepts.

  • 📥 Installation: Set up P2PFL on your system.

  • 🚀 Quickstart: A hands-on guide to training your first P2P federated learning model.

🤿 Deep Dive

  • 🏛️ Components: Understand the architecture and main components behind P2PFL.

  • 👨‍🏫 Tutorials: Comprehensive tutorials to P2PFL’s features, options, and configurations.

  • 📚 API Reference: 🤓 Detailed documentation of all functions, classes, and modules.

➕ Additional Resources

  • 🌐 Web Services: Utilize P2PFL’s web services for monitoring and managing your federated learning tasks.

  • 👫 Contributing: Join the development effort and contribute to P2PFL.