pynchmeister / awesome-federated-learning

Federated learning is a sub-field of machine learning focusing on settings in which multiple entities collaboratively train a model while ensuring that their data remains decentralized.

awesome-federated-learning

A list of awesome apps, libraries, tools, etc.

• Apps

  • petals - 🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
  • chat.petals.dev - 💬 Chatbot web app + HTTP and Websocket endpoints for LLM inference with the Petals client

• Websites

  • Federated Scope

• Socials

  • - Lorem ipsum.

• Tools

  • PyTorch Federated Learning

• Frameworks

  • FATE - An Industrial Grade Federated Learning Framework
  • federated - A framework for implementing federated learning

• Papers

  • TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

• Miscelleaneous

  • onnxruntime-web-demo
  • onnxruntime
  • bloomz.cpp
  • bloom
  • gpt-j
  • mxnet

About

Federated learning is a sub-field of machine learning focusing on settings in which multiple entities collaboratively train a model while ensuring that their data remains decentralized. This stands in contrast to machine learning settings in which data is centrally stored.

Other awesome repositories

• https://github.com/innovation-cat/Awesome-Federated-Machine-Learning