2 papers
cs.AI2026
Protecting patient privacy in clinical foundation models: Technical and legal perspectives
Sana Tonekaboni, Lena Stempfle, Sasha Ronaghi +4
Clinical foundation models trained on large-scale patient data are increasingly used for decision support, screening, and public health. As deployment expands, privacy risk increas…
cs.DC2025
New Limits on Distributed Quantum Advantage: Dequantizing Linear Programs
Alkida Balliu, Corinna Coupette, Antonio Cruciani +6
In this work, we give two results that put new limits on distributed quantum advantage in the context of the LOCAL model of distributed computing. First, we show that there is no d…