Distributed collaborative learning is a promising approach for building predictive models for privacy-sensitive biomedical images. Here, several data owners (clients) train a joint model without ...

Data heterogeneity critically limits distributed artificial intelligence (AI) in medical imaging. We propose HeteroSync Learning (HSL), a privacy-preserving framework that addresses heterogeneity ...

Zhi Tian, Professor, Electrical and Computer Engineering, will receive funding from the National Science Foundation for a project in which she will develop communication-efficient and robust ...

Indrani Dey is a PhD student in Learning Sciences at the University of Wisconsin-Madison, studying under Dr. Sadhana Puntambekar. At iSAT, she works with Dr. Puntambekar to investigate how students’ ...

NVIDIA has announced Clara Federated Learning, its latest edge computing AI platform that delivers AI services to medical institutions without compromising the privacy of patients' data. NVIDIA Clara ...

Academic instructors, hired for their content expertise, are rarely trained in skills like classroom facilitation or community-building. But successful collaborative learning requires a degree of ...