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20242026
most citedUniversally Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence

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quant-ph2026

Characterizing Privacy Risks of Quantum Machine Learning with Emergent Quantum-Native Access

Liou Tang, James Joshi, Ashish Kundu

Quantum Machine Learning (QML) has shown rapid advances by utilizing quantum computing for machine learning tasks. Meanwhile, the privacy risks accompanying QML is also starting to…