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Flower baselines is a collection of community-contributed projects that reproduce the experiments performed in popular federated learning publications. Researchers can build on flower baselines to … This example shows how to use catboost with flower for federated binary classification on the adult census income dataset.
Description this repository implements several models and custom strategies for federated learning in computer vision using flower for multilabel classification. A unified approach to federated learning, analytics, and evaluation. Federate any workload, any ml framework, and any programming language. Flower baselines is a collection of community-contributed projects that reproduce the experiments performed in popular federated learning publications. Researchers can build on flower baselines to …
Researchers can build on flower baselines to …
