Practical overview
When it fits
Use Flower when you need a Python framework to develop and customize federated learning or analytics, and your workflow spans data that remains distributed among participants.
Who it is for
- Developers building federated learning applications across distributed datasets.
- Researchers adapting federated-learning methods or evaluating ideas with reproducible baselines.
- Teams exploring federated analytics with tools such as Pandas.
Documented uses
- Build federated training workflows with a supported machine-learning framework.
- Create federated analytics workflows over distributed datasets.
- Adapt or extend components for a research or application use case.
- Explore example projects for mobile and embedded-device scenarios.
Requirements & limits
The project is available as a public GitHub repository and identifies its license as Apache-2.0.
- Flower is a developer framework, so users need to build their own application or workflow around it.
- The project presents itself as framework-agnostic and lists examples for a broad range of ML and analytics tools.
- Examples include Android with TFLite, iOS with CoreML, and embedded-device tutorials for Raspberry Pi and Nvidia Jetson.
- Flower Baselines are community-contributed reproductions of experiments from federated-learning publications.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Explore a Flower quickstart for a chosen machine-learning framework
Use a Flower example as a starting point for a federated AI or analytics project.
Before you start
- A machine-learning framework appropriate to the selected quickstart; examples listed include PyTorch, TensorFlow, Pandas, and scikit-learn.
Steps
Choose a quickstart from Flower’s examples, such as PyTorch, TensorFlow, or Pandas.
Open the corresponding quickstart example in the Flower repository.
Use that example as the framework-specific starting point for your project.
Expected outcome
A selected Flower quickstart example to build on for a federated application.
Guide limitations
- The README lists quickstart examples but does not provide their setup or run steps.
- The sources do not specify required software versions or confirm successful execution.
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 10 October 2026
- Original website title
- flwrlabs/flower · Official homepage title · retained in its source language