2 papers
cs.LG2026
Scalable Cross-Facility Federated Learning for Scientific Foundation Models on Multiple Supercomputers
Yijiang Li, Zilinghan Li, Kyle Chard +4
Artificial Intelligence for scientific applications increasingly requires training large models on data that cannot be centralized due to privacy constraints, data sovereignty, or…
cs.CY2025
AIDRIN 2.0: A Framework to Assess Data Readiness for AI
Kaveen Hiniduma, Dylan Ryan, Suren Byna +2
AI Data Readiness Inspector (AIDRIN) is a framework to evaluate and improve data preparedness for AI applications. It addresses critical data readiness dimensions such as data qual…