Author

Zhi-Peng Cai

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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. · Tsinghua Science and Technol... · 0 citations

#artificial intelligence Preprint Sep 2026

Task-Aware Federated Fine-Tuning for MoE-based Large Language Models

Mixture-of-Experts (MoE) has become a widely adopted architecture for Large Language Models (LLMs), as it improves model capacity while limiting computational overhead through sparse expert activation. This property makes MoE-based LLMs particularly attractive for resource-constrained distributed environments. However,...

Ting-Qi Wang, Hongyu Ke, Hao-Xin Wang et al. · 0 citations

#generative ai Preprint Aug 2026

Masking Is Not Enough: Generative Restoration for Multimodal De-Identification in Medical AI

ClinX is introduced, an end-to-end multimodal PHI sanitization framework for medical image-text data, and results show that OCR-only masking is not sufficient as a standalone solution, and restoration-based sanitization better preserves clinically relevant visual context while sharply reducing recoverable PHI.

S. Shrestha, Zongxing Xie, Chen Zhao et al. · 0 citations