Showing cs.AIShow all
3 papers · 1 filter
cs.AI2026
Measurement-Budget Allocation in Quantum Learning with Finite-Shot Generalization Guarantees
Ferhat Ozgur Catak
On near-term quantum hardware, estimating a Born probability requires repeated circuit executions. A quantum learning experiment with a fixed measurement budget must therefore…
cs.AI2026
Federated Inference: Toward Privacy-Preserving Collaborative and Incentivized Model Serving
Jungwon Seo, Ferhat Ozgur Catak, Chunming Rong +1
Federated Inference (FI) studies how independently trained and privately owned models can collaborate at inference time without sharing data or model parameters. While recent work…
cs.AI2024
Uncertainty Quantification in Large Language Models Through Convex Hull Analysis
Ferhat Ozgur Catak, Murat Kuzlu
Uncertainty quantification approaches have been more critical in large language models (LLMs), particularly high-risk applications requiring reliable outputs. However, traditional…