2026
From Prompts to Responses: Dual-Sided Data Leakage and Defense in Split Large Language Models
ICML 2026poster
Large language models (LLMs) are increasingly deployed in privacy-sensitive domains, where users must balance the risk of data exposure through external APIs against the high computational cost of local deployment. Split learning has therefore emerged as a promising paradigm for LLM fine-tuning and …