flwr 1.11.1
0
Flower: A Friendly Federated Learning Framework
Contents
Flower: A Friendly Federated Learning Framework
Stars: 4966, Watchers: 4966, Forks: 852, Open Issues: 527The 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
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 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