Introduction to NVIDIA Federated Learning: Concepts, Technology, and Use Cases
Details
Announcing NVIDIA FLARE Webinar Talks 2025!
Join us for an insightful journey into the world of Federated Learning with NVIDIA's FLARE Webinar Series! This webinar offers a comprehensive exploration of NVIDIA Federated Learning technology, its key features, and practical applications. Expand your knowledge and discover how federated learning is shaping the future of AI.
Webinar Schedule:
Q1: Introduction to NVIDIA Federated Learning: Concepts, Technology, and Use Cases
Kick off the series with a comprehensive dive into federated learning fundamentals, the technology that powers it, and real-world use cases.
Q2: Federated Learning Applications: Healthcare and Finance
Explore how federated learning is transforming two of the most critical industries, driving innovation while preserving data privacy.
Q3: Provision, Run, and Monitor Federated Learning Applications
How to setting up, executing, and managing federated learning system
Q4: Real-world Federated Learning Use Cases from Industries
Delve deeper into how federated learning is shaping advanced use cases across diverse industries.
Stay tuned for updates on registration and dates
Be part of the future of AI—join us for NVIDIA FLARE Webinar Talks!
Here is the Q1 talk, Please register at AICamp: https://www.aicamp.ai/event/eventdetails/W2025021910
to get zoom link.
Agenda
10 am PST -- 10:05 am PST for member registration
10:05 am PST -- 11:35 am Webinar and Q & A
11:35 am PST -- closing.
Title: Introduction to NVIDIA Federated Learning: Concepts, Technology, and Use Cases
Introduction to NVIDIA Federated Learning: Concepts, Technology, and Use Cases
Federated learning (FL) empowers collaborative AI model development by enabling distributed training without the need to centralize data, ensuring privacy and security. NVIDIA FLARE, our open-source SDK, is designed to simplify the adoption of FL. This lightweight, flexible, and scalable Python package supports cutting-edge FL algorithms and facilitates privacy-preserving, distributed learning & computing across enterprises.
By leveraging advanced technologies like encryption, differential privacy, and confidential computing, NVIDIA FLARE ensures secure and efficient collaboration. Its seamless integration with popular training libraries, such as PyTorch and TensorFlow, and support for customizable workflows make it versatile and adaptable to a variety of domains.
This Webinar will cover how NVIDIA FLARE is already driving innovation in fields such as medical imaging, biopharma, and finance, showcasing its potential to address critical challenges in privacy-sensitive and distributed data environments.
Speaker:
Holger Roth, a Principal Federated Learning Scientist at NVIDIA, specializes in developing distributed and collaborative software and models for various industries using federated learning and analytics. He has been exploring the topic both from theoretical and practical standpoints. During the COVID-19 pandemic, he led the experimentation of a federated learning study involving twenty hospitals around the globe to train more generalizable models for predicting clinical outcomes in symptomatic patients. His other research interests include computer-assisted annotation, active learning, and natural language processing. He is an Associate Editor for IEEE Transactions of Medical Imaging and holds a Ph.D. from University College London, UK. In 2018, he was awarded the MICCAI Young Scientist Publication Impact Award.