flwr 1.9.0


Flower: A Friendly Federated Learning Framework

Flower: A Friendly Federated Learning Framework

Stars: 4521, Watchers: 4521, Forks: 794, Open Issues: 526

The adap/flower repo was created 4 years ago and the last code push was 37 minutes ago.
The project is very popular with an impressive 4521 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

The Flower Authors
GitHub Repo:


  • 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.


A list of common flwr errors.

Code Examples

Here are some flwr code examples and snippets.

GitHub Issues

The flwr package has 526 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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