  In this study, we propose a novel dataset distillation method based on
parameter pruning. The proposed method can synthesize more robust distilled
datasets and improve distillation performance by pruning difficult-to-match
parameters during the distillation process. Experimental results on two
benchmark datasets show the superiority of the proposed method.
