Keyword: Trustworthy and Explainable Federated System for Extracting Descriptive Rules in a Data Streaming Environment

Actas de congreso 2025

María Asunción Padilla Rascón, Ángel Miguel García-Vico, Cristóbal J. Carmona

Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados

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Cómo citar esta publicación

Padilla Rascón, M. A., García-Vico, Á. M., & Carmona, C. J. (2025). Keyword: Trustworthy and Explainable Federated System for Extracting Descriptive Rules in a Data Streaming Environment. Donostia/San Sebastián: Universidad del País Vasco. Recuperado de https://addi.ehu.es/handle/10810/74080
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Resumen

In the information age, continuous streams of data from connected devices require intelligent models that ensure security, privacy and transparency. Federated learning enables knowledge sharing while adhering to the principles of trustworthy AI.

Detalles

Edition
XVI
Editorial
Universidad del País Vasco
Lugar del congreso
Donostia/San Sebastián