Contents

flwr 1.11.1

0

Flower: A Friendly Federated Learning Framework

Flower: A Friendly Federated Learning Framework

Stars: 4966, Watchers: 4966, Forks: 852, Open Issues: 527

The adap/flower repo was created 4 years ago and the last code push was 4 hours ago.
The project is very popular with an impressive 4966 github stars!

How to Install flwr

You can install flwr using pip

pip install flwr

or add it to a project with poetry

poetry add flwr

Package Details

Author
The Flower Authors
License
Apache-2.0
Homepage
https://flower.ai
PyPi:
https://pypi.org/project/flwr/
Documentation:
https://flower.ai
GitHub Repo:
https://github.com/adap/flower

Classifiers

  • Scientific/Engineering
  • Scientific/Engineering/Artificial Intelligence
  • Scientific/Engineering/Mathematics
  • Software Development
  • Software Development/Libraries
  • Software Development/Libraries/Python Modules
No  flwr  pypi packages just yet.

Errors

A list of common flwr errors.

Code Examples

Here are some flwr code examples and snippets.

GitHub Issues

The flwr package has 527 open issues on GitHub

  • Restructure Baselines docs
  • Add check wheel contents
  • Update the installing dependencies for MAC user
  • Implementation of FedDF
  • Connection overriding problem
  • Add HuggingFace E2E test
  • Add PyTorch-Lightning E2E test
  • Fixes: Broken links in Flower Baseline section
  • Broken links in README for Flower Baseline section
  • Update tensorflow-cpu requirement from ^2.9.1, !=2.11.1 to ^2.11.1 in /e2e/tensorflow
  • Update numpy requirement from 1.23.1 to 1.24.4 in /e2e/mxnet
  • FedNTD
  • Use latest versions of frameworks for E2E testing
  • Check if requirements.txt is synced with pyproject.toml
  • New Android Example with Kotlin and TensorFlow Lite 2022

See more issues on GitHub

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