Back to Agenda
Accelerating AI-Enabled Drug Discovery and Development with Federated Computing
Session Chair(s)
Ittai Dayan, MD, MPH
CEO
Rhino Federated Computing, United States
Siloed data stifles advancements in AI-powered drug discovery. Federated computing (FC) provides a secure, privacy-preserving, decentralized approach that enables AI-model sharing, fine-tuning and inference - moving AI demos to real-world applications.
Learning Objective : Define Federated Computing and its related components; Examine traditional data centralization methods with decentralized federated approaches; Identify use cases for Federated AI in drug discovery and development.
Speaker(s)
Accelerating AI-Enabled Drug Discovery and Development with Federated Computing
Jonathan Gilbert
Eli Lilly and Company, United States
Senior Director, Ecosystem Growth and Contributor Partnerships
Accelerating AI-Enabled Drug Discovery and Development with Federated Computing
Nadia Harhen
SandboxAQ, United States
General Manager, AI Simulation
Accelerating AI-Enabled Drug Discovery and Development with Federated Computing
Kyle Tretina
NVIDIA, United States
Product Marketing Lead
Have an account?