Search Results for author:
Found 2 papers, 0 papers with code
Federated Learning for Non-IID Data via Client Variance Reduction and Adaptive Server Update
Federated learning (FL) is an emerging technique used to collaboratively train a global machine learning model while keeping the data localized on the user devices.
An Ensemble Boosting Model for Predicting Transfer to the Pediatric Intensive Care Unit
Our work focuses on the problem of predicting the transfer of pediatric patients from the general ward of a hospital to the pediatric intensive care unit.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
