Flower

What it does

Flower is an open-source framework for federated learning and related distributed AI experiments. It lets developers coordinate learning across participants while adapting the training strategy and client implementation to the use case. Integrations cover frameworks such as PyTorch, TensorFlow, JAX and scikit-learn, with examples for model training, fine-tuning and federated analytics.

Researchers can extend the framework’s components and compare approaches using its published baselines. It is useful when a project needs to train or evaluate across separate data holders rather than collecting every dataset into one training location. The Apache 2.0 software is free to use; deployment, compute and any managed services are separate. Federated execution still requires a considered privacy and security design for the exchanged updates.

What it can do

• Federated model training
• Custom federation strategies
• ML framework integrations
• Federated fine-tuning examples
• Federated analytics
• Research baselines

Works with

• PyTorch
• TensorFlow
• JAX
• scikit-learn
• Hugging Face

Before you choose

• Compute, networking and managed deployment can add costs.
• Federated learning does not by itself establish a privacy guarantee.

Listed under

• Coding
• Sandboxes and infrastructure
• Decentralized AI
• Enterprise
• Federated learning
• LLM fine-tuning
• MLOps
• Open source

Get started

1. Install Flower and follow the tutorial for the chosen ML framework.
2. Define client training behavior and a federation strategy.
3. Test the federation before connecting production participants.

Apache 2.0 framework. Compute, hosting and managed services are additional where used.

We couldn’t find published prices for Flower. See their pricing page ↗

Sources for this overview

Product pages, documentation, and pricing checked 30 Oct 2026. Each source supports part of the overview; availability and prices can change.

• GitHub - flwrlabs/flower: Flower: A Friendly Federated AI Framework · GitHub ↗github.com

Company website

github.com: product, pricing and policy pages

YC directory mirror

Batch and company name

Social accounts

Accounts the company links, and its posts on X

Human review

Checked by a person

manual_review

Last checked 30 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.