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P2P Federated Learning (p2pfl) is a decentralized federated learning library, it allows creating basic federated learning systems on p2p networks using gossip protocols.

Home Page: https://pguijas.github.io/federated_learning_p2p

License: GNU General Public License v3.0

Python 100.00%

federated_learning_p2p's Introduction

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P2PFL - Federated Learning over P2P networks

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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.

📚 Documentation

✅ Features

  • Easy to use and extend
  • Fault tolerant
  • Decentralized and Scalable
  • Simulated and real environments
  • Privacy-preserving
  • Framework agnostic

📥 Installation

To install the library, you can simply run:

pip install p2pfl

🚀 Roadmap

Roadmap

👫 Contributing

Contributions are always welcome!

See CONTRIBUTING.md for ways to get started.

Please adhere to this project's code of conduct specified in CODE_OF_CONDUCT.md.

💬 Google Group

If you have any questions, or you to be notified of any updates, you can join the Google Group here.

📜 License

GNU General Public License, Version 3.0

federated_learning_p2p's People

Contributors

pguijas avatar hectorpadin1 avatar mlrosenquist avatar

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