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cs.CR2024
FLEX: FLEXible Federated Learning Framework
Francisco Herrera, Daniel Jiménez-López, Alberto Argente-Garrido +6
In the realm of Artificial Intelligence (AI), the need for privacy and security in data processing has become paramount. As AI applications continue to expand, the collection and h…
cs.LG2024
An Interpretable Client Decision Tree Aggregation process for Federated Learning
Alberto Argente-Garrido, Cristina Zuheros, M. Victoria Luzón +1
Trustworthy Artificial Intelligence solutions are essential in today's data-driven applications, prioritizing principles such as robustness, safety, transparency, explainability, a…