NVIDIA Federated Learning Application Runtime Environment
NVFlare enables researchers to collaborate and build AI models without sharing private data.
NVFlare is a standalone python library designed to enable federated learning amongst different parties using their local secure protected data for client-side training, at the same time it includes capabilities to coordinate and exchange progressing of results across all sites to achieve better global model while preserving data privacy. The participating clients can be in any part of the world.
NVFlare builds on a flexible and modular architecture and is abstracted through APIs allowing developers & researchers to customize their implementation of functional learning components in a Federated Learning paradigm.
Learn more - NVFlare.
Installation
To install the current release, you can simply run:
pip install nvflare
To install the nightly release, you can simply run:
pip install nvflare-nightly
Third party license
pyyaml: https://github.com/yaml/pyyaml/blob/master/LICENSE (MIT)
grpcio: https://pypi.org/project/grpcio/ (Apache 2.0)
google-api-python-client: https://github.com/googleapis/google-api-python-client/blob/master/LICENSE (Apache 2.0)
psutil: https://github.com/giampaolo/psutil/blob/master/LICENSE (BSD 3-Clause)
cryptography: https://github.com/pyca/cryptography/blob/main/LICENSE (BSD, Apache and PSF)
rich: https://github.com/willmcgugan/rich/blob/master/LICENSE (MIT)
tenseal: https://github.com/OpenMined/TenSEAL/blob/master/LICENSE (Apache 2.0)
License
By installing the software, you agree to the license terms.
Release files for nvflare 1.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nvflare-1.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Release files / nvflare-1.1.0-py3-none-any.whl
| Download URL | nvflare-1.1.0-py3-none-any.whl |
|---|---|
| Size | 784.2 kB |
| Tags | Python 3 |
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