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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★ 2 cited
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…