NVIDIA Federated Learning Application Runtime Environment

NVIDIA FLARE is a domain-agnostic, open-source, extensible SDK that allows researchers and data scientists to adapt existing ML/DL workflows(PyTorch, TensorFlow, Scikit-learn, XGBoost etc.) to a federated paradigm. It enables platform developers to build a secure, privacy-preserving offering for a distributed multi-party collaboration.

NVIDIA FLARE is built on a componentized architecture that allows you to take federated learning workloads from research and simulation to real-world production deployment. Key components include:


To install the current release, you can simply run:

$ python3 -m pip install nvflare

Getting started

You can quickly get started using the FL simulator.

A detailed getting started guide is available in the documentation.

Examples and notebook tutorials are located here.

For a list of talks, blogs, and publications related to NVIDIA FLARE, see here.


NVIDIA FLARE has Apache 2.0 license, as found in LICENSE file.