Abstract: Resource-constrained organizations with vast datasets often face significant challenges in training and fine-tuning large language models (LLMs) due to privacy and compliance requirements.

Abstract: Split learning (SL) is widely regarded as a promising distributed machine learning framework with superior privacy-preserving properties, lower communication and computation costs. However, ...