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News/Optimizing Teacher-Student Partitioning for Scalable Knowledge Distillation on HPC Systems
arxiv
PublishedJune 29, 2026 at 4:00 AM
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Optimizing Teacher-Student Partitioning for Scalable Knowledge Distillation on HPC Systems

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arXiv:2606.27797v1 Announce Type: cross Abstract: Knowledge Distillation (KD) enables training smaller student models under the guidance of larger teacher models, and the widely adopted TRL library implements it. Yet, TRL treats both models symmetrically, missing opportunities to exploit their prono

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