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Found 2 papers, 1 papers with code
FLEX: FLEXible Federated Learning Framework
In the realm of Artificial Intelligence (AI), the need for privacy and security in data processing has become paramount.
An Interpretable Client Decision Tree Aggregation process for Federated Learning
In this paper, we propose an Interpretable Client Decision Tree Aggregation process for Federated Learning scenarios that keeps the interpretability and the precision of the base decision trees used for the aggregation.
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