• Speaker: Dr. Holger R. Roth (NVIDIA)
• Date & Time: Thursday, November 19, 12:00 – 1:00 PM
• Access Link: Zoom Webinar

Overview & Speaker Biography

Dr. Holger R. Roth is a Senior Applied Research Scientist at NVIDIA’s deep learning for medical imaging research group in Bethesda, Maryland. A recognized leader in large-scale medical image analysis and multi-scale computational anatomy,Dr. Roth received his PhD from University College London and previously conducted research at the NIH Clinical Center and Nagoya University. He is an Associate Editor for IEEE Transactions on Medical Imaging and won the Young Scientist Publication Impact Award for his foundational research on deep convolutional neural networks in medical diagnostics.

Learning Objectives

• Explain why data privacy, governance, and institutional data silos make centralized training difficult in biomedical research, and how federated learning enables multi-site collaboration without sharing raw data.
• Describe core privacy-preserving techniques in federated learning—including secure aggregation, differential privacy, and confidential computing—alongside their practical trade-offs.
• Identify real-world applications and tooling for federated learning on biomedical data (such as medical imaging,EHR, and genomics using frameworks like NVFlare and MONAI) and key considerations for the Bridge2AI community.