NVIDIA/NVFlare

Flower: A Friendly Federated AI Framework

An open-source framework for machine learning and other computations on decentralized data.

An Open Framework for Federated Learning.

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

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

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

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

Library for training machine learning models with privacy for training data

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