Flavjo Xhelollari

Research

My work sits at the intersection of trustworthy machine learning and quantum computing, with an emphasis on privacy, robustness, and formal guarantees.

Trustworthy AI

Quantum Machine Learning

Privacy-Preserving ML

Certified & Adversarial Robustness

Formal Verification

Publications

Selected first-author work on privacy-preserving QML, robust hybrid quantum–classical learning, and end-to-end verification.

Journal articles

Ensembling Personalized Quantum Models with Local Differential Privacy

Accepted · 2026

Flavjo Xhelollari, Samuel Yen-Chi Chen, Junaid Farooq, Juntao Chen

Quantum Machine Intelligence

Personalized label-local differential privacy for user-specific quantum models with privacy-aware ensemble aggregation.

Quantum ML Local Differential Privacy Ensemble Learning IBM Quantum

Framework for personalized quantum models with local differential privacy

View framework

Robustness of Hybrid Classical-Quantum Transfer Learning Models Under Differential Privacy Constraints

Accepted · 2026

Flavjo Xhelollari, Ying Mao, Samuel Yen-Chi Chen, Juntao Chen

ACM Transactions on Quantum Computing

A controlled classical-versus-PQC transfer-learning study of differential privacy, adversarial robustness, and hardware-noise sensitivity.

Transfer Learning Differential Privacy Adversarial Robustness Hybrid QML

Hybrid classical-quantum transfer-learning framework

View framework

Workshop papers

Relational Certificates for End-to-End Verification of Hybrid Quantum–Classical Machine-Learning Pipelines

Accepted · QCE 2026

Flavjo Xhelollari, Tao Li, Juntao Chen

4th International Workshop on Quantum Machine Learning: From Research to Practice · IEEE Quantum Week / QCE 2026 · Toronto

End-to-end relational certificates for robustness, stability, and deployment reliability of composed hybrid QML pipelines.

Formal Verification Relational Logic Reliability Hybrid QML

End-to-end relational verification framework for hybrid QML

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Transferable Certified Robustness for Hybrid Quantum–Classical Machine Learning

Accepted · QCE 2026

Flavjo Xhelollari, Tao Li, Juntao Chen

PRQAI: Towards Privacy and Robustness in Quantum Artificial Intelligence · IEEE Quantum Week / QCE 2026 · Toronto

Transfer-aware robustness certification that explicitly accounts for finite-shot uncertainty and simulator-to-device drift.

Certified Robustness Sim-to-Hardware NISQ Finite Shots

Transfer-aware certified robustness workflow for hybrid QML

View framework

Ensembling Personalized Quantum Models with LDP via Meta-Learning

AAAI 2025

Flavjo Xhelollari, Samuel Yen-Chi Chen, Junaid Farooq, Juntao Chen

QC+AI Workshop at AAAI 2025 · Philadelphia

Quantum ML Meta-Learning LDP Personalization

Recent Updates

Aug 2026 Ensembling Personalized Quantum Models with Local Differential Privacy accepted for publication in Quantum Machine Intelligence.

Aug 2026 Robustness of Hybrid Classical-Quantum Transfer Learning Models Under Differential Privacy Constraints accepted for publication in ACM Transactions on Quantum Computing.

Jul 2026 Two first-author workshop papers accepted at IEEE Quantum Week / QCE 2026 in Toronto.

Feb 2025 Presented Ensembling Personalized Quantum Models with LDP via Meta-Learning at the QC+AI Workshop at AAAI 2025.

Research

Publications

Ensembling Personalized Quantum Models with Local Differential Privacy

Robustness of Hybrid Classical-Quantum Transfer Learning Models Under Differential Privacy Constraints

Relational Certificates for End-to-End Verification of Hybrid Quantum–Classical Machine-Learning Pipelines

Transferable Certified Robustness for Hybrid Quantum–Classical Machine Learning

Ensembling Personalized Quantum Models with LDP via Meta-Learning

Recent Updates

Travel & Adventures