AIBullisharXiv – CS AI · Mar 47/103
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FAST: Topology-Aware Frequency-Domain Distribution Matching for Coreset Selection
Researchers propose FAST, a new DNN-free framework for coreset selection that compresses large datasets into representative subsets for training deep neural networks. The method uses frequency-domain distribution matching and achieves 9.12% average accuracy improvement while reducing power consumption by 96.57% compared to existing methods.