EurekAlert!

Statistical and engineering approaches to federated learning: Comprehensive benchmarking for healthcare applications

Scientists from Duke-NUS Medical School offer recommendations for using FL frameworks in future clinical research, considering both prediction and non-prediction tasks, data variability, and the ...
ascopubs.org

Linear Federated Learning for Outcome Prediction With Application to Hepatocellular Carcinoma Radiotherapy

Open-Source Hybrid Large Language Model Integrated System for Extraction of Breast Cancer Treatment Pathway From Free-Text Clinical Notes Federated learning (FL) enables multi-institutional predictive ...
Scientific Computing World

How do you leverage federated learning models in drug discovery?

There are a few questions that drug discovery teams need to address before considering the adoption of federated learning techniques. Artificial Intelligence (AI) has become criti ...

Pusan National University Study Highlights Federated and Reinforcement Learning for Natural Language Processing

Natural language processing (NLP), a branch of artificial intelligence, enables computers to understand and generate human language. Large language models (LLMs) now power everyday applications such ...