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Large-scale datasets and benchmarks for training, evaluating, and testing models to measure
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Este projeto tem como objetivo investigar e desenvolver soluções baseadas em Aprendizado Federado (Federated Learning), um paradigma de inteligência artificial descentralizada que permite o treinamento colaborativo de modelos de machine learning sem a necessidade de centralizar dados sensíveis.