Yih-Chung Tham

Toward federated large language models in medicine: a parameter-efficient framework for privacy-preserving, multi-institutional adaptation

Large language models (LLMs) are increasingly adapted for medical applications, but most are trained using data from a single institution because privacy and governance constraints prevent multi-institutional data sharing. As a result, these models often generalize poorly across...