NVIDIA FLARE Q4: Federated Learning from Industrial Perspectives
Details
We are excited to announce NVIDIA FLARE Q4 webinar:
Join the meeting now
Meeting ID: 217 862 297 250 5
Passcode: Yh2qy3ku
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Dial in by phone
+1 949-570-1120,,615345227# United States, Irvine
Agenda
8:25 am -- 8:30 am PT member join online
8:30 am -- 9:15 am PT Talk 1 + QA (Roche)
9:15 am -- 10:00 am PT Talk 2 + QA (Apheris)
Talk 1: Building a Collaborative Data Space for Multiple Sclerosis Research.
In this webinar, we will dive into Roche's first global industry-academia research collaboration built on a federated architecture. This pioneering initiative aims to facilitate access to broad and diverse patient data from both real-world clinical settings and clinical trials to explore how novel scientific concepts could be relevant for medical practice and novel endpoint development.
Speaker
Eric Boenert is the product manager for Federated Open Science at Roche and can be found on LinkedIn at: linkedin.com/in/eric-boernert.
Talk 2: Improving protein-ligand co-folding predictions by leveraging data from multiple pharma companies
The AISB Network addresses the scarcity of public protein-ligand structure data through secure, collaborative AI model training. The first initiative customizes OpenFold3 (an open-source AlphaFold3 reproduction) using proprietary protein-ligand complexes from participating pharma companies. We’ll present the experimental and federated computing set-up powered by NVFlare, scalability considerations, IP protection mechanisms, and collaborative training results.
Speakers:
Robin Roehm - CEO & Co-Founder: Robin studied medicine, philosophy, and mathematics. He is now CEO and co-founder of Apheris, driving the direction of the business.
Nicolas Gautier - Senior ML Engineer: Nick studied engineering. At Apheris, he works as an engineer, focusing on infrastructure, backend development, data science, and machine learning.
NVIDIA FLARE Q4: Federated Learning from Industrial Perspectives