Dataset distillation aims to compress information from a large-scale original dataset to a new
compact dataset while striving to preserve the utmost degree of the original data …

Dataset distillation has emerged as a technique aiming to condense informative features
from large, natural datasets into a compact and synthetic form. While recent advancements …

Dataset Distillation (DD) aims to distill knowledge from extensive datasets into more
compact ones while preserving performance on the test set, thereby reducing storage costs …