
Join us for our Q4 NVIDIA FLARE Webinar, where we dive into the deployment capabilities as well as peer-to-peer algorithm development with NVIDIA FLARE—NVIDIA’s open-source federated learning framework. Whether you're new to FLARE or looking to take your distributed training pipelines to the next level, this session is packed with practical insights.
Agenda (PST)
* 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
Abstract: 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:
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Talk 2: Improving protein-ligand co-folding predictions
Abstract: 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.
Speaker:
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Venue:
virtual, join from anywhere.
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