Flower

Flower AI provides open-source federated learning tools for training AI models on distributed data, enabling privacy-preserving machine learning across various frameworks and platforms.

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AI Compliance Solutions, Decentralized AI, Distributed Data Training, Federated Learning, Privacy-Preserving Machine Learning

About Us

Flower is an open-source framework for federated AI development. It enables collaborative machine learning across distributed datasets without compromising data privacy. The platform supports various ML frameworks, scales to millions of devices, and works across cloud, mobile, and edge environments. Flower simplifies the implementation of federated learning systems, allowing developers to create privacy-preserving AI solutions for healthcare, finance, and other industries where data sensitivity is crucial.

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Frequently Asked Questions

Flower was founded in 2023.

The founders of Flower are Daniel J. Beutel, Nicholas Lane and Taner Topal.

Flower’s headquarters is located in Hamburg, Germany.