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.