CA-based Flower Labs secures $20million in series A round funding. Leading the round was Felicis, with participation from angel investors such GitHub co-founder Scott Chacon and Hugging Face CEO Clem Delangue, as well as First Spark Ventures, Factorial Capital, Beta Works, Y Combinator, Pioneer Fund, and Mozilla Ventures.
The startup plans to utilize the money to develop a platform that would enhance the simplicity of federated AI solutions by integrating with the open-source framework.
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Flower is an open-source framework, environment, and community for federated learning and related decentralized technologies for training and using artificial intelligence (AI) on distributed data. It was founded by CEO Daniel J. Beutel, COO Taner Topal, and CSO Nicholas D. Lane.
It is used by firms such as Brave, Nokia, Samsung, Porsche, Banking Circle, and Samsung to enhance their AI models using private data that is dispersed between user devices and organizational silos.
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Flower is the leading platform for developments in the field of federated and decentralized machine learning, thanks to its strong collaboration with a community of over 3000 open-source developers.
Prominent academic institutions, like as MIT, Stanford, Harvard, Berkeley, Oxford, and Cambridge, have Flower-based research labs. Many of these labs share their implementations with the community for wider use.
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About Flower Labs
Flower is the premier open-source framework that uses federated learning and other privacy-enhancing methods to train artificial intelligence (AI) more effectively on distributed data. High-value sectors like telecoms (Nokia), healthcare (Korean AI Center for Drug Discovery), banking ([stealth]), automotive (Porsche), and personal computing (Brave) are beginning to change as a result of industry leaders using Flower to collaborate on model training more easily.
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