1 INTRODUCTION  
2 BACKGROUND  
3 META-LEARNING FRAMEWORK  
4 DATA MATCHING FRAMEWORK  
5 FACTORIZED DATASET DISTILLATION  
6 PERFORMANCE COMPARISON  
7 DATA MODALITIES  
8 APPLICATION  
9 CHALLENGES AND FUTURE DIRECTIONS  