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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First seen: Mar 27, 2026Last active: Mar 27, 2026Wikipedia

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Research MilestoneMar 26, 2026
Research paper introducing DIET framework for streaming dataset distillation in recommender systems posted to arXiv
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compression:
1-2% of original size
cost reduction:
up to 60x

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Recommender Systems
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