[HTML][HTML] Large language models in healthcare and medical domain: A review
The deployment of large language models (LLMs) within the healthcare sector has sparked
both enthusiasm and apprehension. These models exhibit the remarkable ability to provide …
both enthusiasm and apprehension. These models exhibit the remarkable ability to provide …
Heterogeneous lora for federated fine-tuning of on-device foundation models
Foundation models (FMs) adapt surprisingly well to downstream tasks with fine-tuning.
However, their colossal parameter space prohibits their training on resource-constrained …
However, their colossal parameter space prohibits their training on resource-constrained …
Federated learning for privacy-preserving depression detection with multilingual language models in social media posts
The incidences of mental health illnesses, such as suicidal ideation and depression, are
increasing, which highlights the urgent need for early detection methods. There is a growing …
increasing, which highlights the urgent need for early detection methods. There is a growing …
Boosting Classification Tasks with Federated Learning: Concepts, Experiments and Perspectives
This paper presents the use of federated learning (FL) in healthcare to improve the efficiency
and accuracy of medical diagnosis while addressing privacy concerns related to medical …
and accuracy of medical diagnosis while addressing privacy concerns related to medical …
DEVELOPMENT OF A PREDICTIVE MODEL FOR PEDIATRIC ATOPIC DERMATITIS–A RETROSPECTIVE CROSS-SECTIONAL NATIONWIDE DATABASE STUDY
T Landau, K Gamrasni, A Levin, Y Barlev… - Annals of Allergy …, 2024 - Elsevier
Background The rise in prevalence of atopic dermatitis has been correlated with numerous
elements of the exposome, modern-day lifestyle, and familial history. The combined analysis …
elements of the exposome, modern-day lifestyle, and familial history. The combined analysis …
Current research and prospects of federated language large models in the medical field
Y Tang, Y Deng - … on Biomedical and Intelligent Systems (IC …, 2024 - spiedigitallibrary.org
This paper delves into the current state and future prospects of federated learning (FL) in the
medical field, with a focus on its key advantages in privacy protection, data efficiency, and …
medical field, with a focus on its key advantages in privacy protection, data efficiency, and …