Un estudio de las técnicas de Machine Unlearning en redes neuronales : Revisión Sistemática de Literatura sobre Desaprendizaje en Redes Neuronales para Tareas de Clasificación y Regresión.

Abstract

This survey examines the field of machine unlearning in neural networks, an area driven by data privacy regulations such as General Data Protection Regulation and California Consumer Privacy Act. This review analyzes 31 primary studies of machine unlearning specifically applied to neural networks used in regression and classification tasks. The survey evaluates the foundational principles, metrics, and methodologies used to assess machine unlearning techniques, with a focus on recent advancements up to December 2023. By categorizing and detailing these techniques, this work provides insights into their evolution, effectiveness, and applicability, offering a foundation for future research and practical applications in the realm of data privacy and model management. Additionally, this survey provides recommendations for the application of machine unlearning techniques in EMG signal classification.