P2Skill: Privacy Preserving Skill Distillation for Cloud-Local LLM Inference Systems
cs.CR, cs.AI
Submitted: 2026-08-14
Updated: 2026-10-13
Terminology
Sources
- Evaluating Large Language Models Trained on Code
- Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture
- The Llama 3 Herd of Models
- Measuring Massive Multitask Language Understanding
- GPT-4o System Card
- Decomposed Prompting: A Modular Approach for Solving Complex Tasks
- LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods
- Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges
- Split-and-Denoise: Protect large language model inference with local differential privacy
- Qwen2.5 Technical Report
- BloombergGPT: A Large Language Model for Finance
- Qwen3 Technical Report
- PRISM: Privacy-Aware Routing for Adaptive Cloud-Edge LLM Inference via Semantic Sketch Collaboration
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