Heng Jin

SEP 9, 2026 · PREPRINT

Privacy-Preserving Split Learning for Federated LLM Fine-Tuning

arXiv

An early-stage technical study presenting a novel privacy-preserving method for federated LLM fine-tuning with experimental validation but no peer review, clinical outcomes, or comparative benchmarking against established standards.