DIET
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Learning to Distill Dataset Continually for Recommender Systems
DIET is a software for grid-computing. As middleware, DIET sits between the operating system and the application software. DIET was created in 2000. It was designed for high-performance computing. It is currently developed by INRIA, École Normale Supérieure de Lyon, CNRS, Claude Bernard University L
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1- Research MilestoneMar 26, 2026
Research paper introducing DIET framework for streaming dataset distillation in recommender systems posted to arXiv
View source- compression:
- 1-2% of original size
- cost reduction:
- up to 60x
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