google-parfait/tensorflow-federated

Flower: A Friendly Federated AI Framework

Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.

Library for training machine learning models with privacy for training data

An Open Source Machine Learning Framework for Everyone

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

Perform data science on data that remains in someone else's server

Parallax is a distributed model serving framework that lets you build your own AI cluster anywhere

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.