Anat Kleiman

Apple Machine Learning Research published a paper proposing that machine unlearning skip training points with negligible influence on model outputs, reporting computational savings of up to approximat…

Apple researchers have developed an efficient unlearning framework that reduces computational costs by up to ~50% by identifying and excluding low-influence data points before the unlearning process, …