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Yongjoon Joe

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Open access Sep 2026

AKDF: Adaptive knowledge distillation for secure, efficient, copyright-protected model publishing

The Adaptive Knowledge Distillation Framework (AKDF), a unified training approach that simultaneously com-presses LLMs and embeds ownership signals for copyright assurance, is introduced, providing a practical path to-ward bandwidth-efficient and ownership-aware deployment of large-scale language models.

Feng Jiang, Hong-Hui Xu, Daehee Seo et al. · 0 citations

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