securefederatedai/openfederatedlearning

Flower: A Friendly Federated AI Framework

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

NVIDIA Federated Learning Application Runtime Environment

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

A Framework for Encrypted Machine Learning in TensorFlow

Library for training machine learning models with privacy for training data

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

Training PyTorch models with differential privacy