Choose a language
0 reviews
Flower Labs offers an open-source framework designed to facilitate federated learning, enabling collaborative machine learning across decentralized datasets without compromising data privacy. This approach allows AI models to be trained directly on data sources, such as user devices or organizational silos, eliminating the need for centralized data collection. By keeping data localized, Flower ensures privacy compliance and reduces dependency on centralized computing resources.