Search Results for author:
Found 2 papers, 1 papers with code
Feature-context driven Federated Meta-Learning for Rare Disease Prediction
Additionally, a dynamic-weight based fusion strategy is proposed to further improve the accuracy of federated learning, which dynamically selects clients based on the accuracy of each local model.
Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task
The black-box nature of machine learning models hinders the deployment of some high-accuracy models in medical diagnosis.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
