Federated Learning Using Model Projection for Multi-Center Disease Diagnosis with Non-IID Data

Federated Learning Using Model Projection for Multi-Center Disease Diagnosis with Non-IID Data

Information Science, Artificial Intelligence, Medicine, Environmental and Public Health,
Federated Learning   Model Projection   Multi-Center Disease Diagnosis   Non-IID Data   Catastrophic Forgetting   Invalid Aggregation  

Federated Learning Using Model Projection for Multi-Center Disease Diagnosis Background Introduction With the rapid development of medical imaging technology, research on automated diagnostic methods has shown good performance on single-center datasets. However, these methods often find it difficult to generalize to data from other healthcare facil...

Heart Sound Abnormality Detection from Multi-Institutional Collaboration: Introducing a Federated Learning Framework

Heart Sound Abnormality Detection from Multi-Institutional Collaboration: Introducing a Federated Learning Framework

Information Science, Artificial Intelligence, Medicine, Cardiovascular System,
Heart Sound Abnormality   Multi-Institutional Collaboration   Federated Learning   Privacy Protection   Deep Learning  

Academic Background Cardiovascular diseases (CVDs) have become one of the leading causes of death, particularly within the elderly population, making cardiovascular health a pressing societal concern. Early screening, diagnosis, and prognosis management are crucial for preventing hospitalizations. Heart sound signals carry rich physiological and pa...