The Role of Flower in Federated Learning

The Role of Flower in Federated Learning

Daniel Beutel, CEO of Flower, leads the development of an open-source platform that simplifies federated learning implementation across various devices and frameworks. Flower supports major machine learning libraries like PyTorch and TensorFlow, enabling researchers and developers to build federated learning systems efficiently.

In 2023, Flower secured $3.6 million in funding to further its mission of making federated learning accessible and scalable.

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Contributor:

Nishkam Batta

Nishkam Batta

Editor-in-Chief – HonestAI Magazine
AI consultant – GrayCyan AI Solutions

Nish specializes in helping mid-size American and Canadian companies assess AI gaps and build AI strategies to help accelerate AI adoption. He also helps developing custom AI solutions and models at GrayCyan. Nish runs a program for founders to validate their App ideas and go from concept to buzz-worthy launches with traction, reach, and ROI.

Contributor:

Nishkam Batta

Nishkam Batta
Editor-in-Chief - HonestAI Magazine AI consultant - GrayCyan AI Solutions

Nish specializes in helping mid-size American and Canadian companies assess AI gaps and build AI strategies to help accelerate AI adoption. He also helps developing custom AI solutions and models at GrayCyan. Nish runs a program for founders to validate their App ideas and go from concept to buzz-worthy launches with traction, reach, and ROI.

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