Enabling Quartile-based Estimated-Mean Gradient Aggregation As Baseline for Federated Image Classifications

no code implementations • 21 Sep 2023 • Yusen Wu, Jamie Deng, Hao Chen, Phuong Nguyen, Yelena Yesha

Federated Learning (FL) has revolutionized how we train deep neural networks by enabling decentralized collaboration while safeguarding sensitive data and improving model performance.

Federated Learning

Improving VTE Identification through Adaptive NLP Model Selection and Clinical Expert Rule-based Classifier from Radiology Reports

no code implementations • 21 Sep 2023 • Jamie Deng, Yusen Wu, Hilary Hayssen, Brain Englum, Aman Kankaria, Minerva Mayorga-Carlin, Shalini Sahoo, John Sorkin, Brajesh Lal, Yelena Yesha, Phuong Nguyen

Rapid and accurate identification of Venous thromboembolism (VTE), a severe cardiovascular condition including deep vein thrombosis (DVT) and pulmonary embolism (PE), is important for effective treatment.

Data Augmentation Model Selection