flwr 1.8.0
0
Flower: A Friendly Federated Learning Framework
Contents
Flower: A Friendly Federated Learning Framework
Stars: 4091, Watchers: 4091, Forks: 732, Open Issues: 425The adap/flower
repo was created 4 years ago and the last code push was an hour ago.
The project is very popular with an impressive 4091 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
Related Packages
Errors
A list of common flwr errors.
Code Examples
Here are some flwr
code examples and snippets.
GitHub Issues
The flwr package has 425 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