Skip to main content

Federated Learning Application Runtime Environment

Project description

NVIDIA Federated Learning Application Runtime Environment

NVIDIA FLARE enables researchers to collaborate and build AI models without sharing private data.

NVIDIA FLARE 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.

NVIDIA FLARE 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 - NVIDIA FLARE.

Installation

To install the current release, you can simply run:

pip install nvflare

Third party license

See 3rdParty folder for their license files.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

nvflare-2.0.10-py3-none-any.whl (781.1 kB view details)

Uploaded Python 3

File details

Details for the file nvflare-2.0.10-py3-none-any.whl.

File metadata

  • Download URL: nvflare-2.0.10-py3-none-any.whl
  • Upload date:
  • Size: 781.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.10

File hashes

Hashes for nvflare-2.0.10-py3-none-any.whl
Algorithm Hash digest
SHA256 0b37668ed7e82d5bbe70eec10029daf4ebc952c732c1881b6e3294319225765e
MD5 28b38b9d2ad4245188cc2f79c23cfe4f
BLAKE2b-256 e1f287641db1867ec6afb661d0cba51ebec0ddf80d8a469e29912bc411f366f6

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page