Du Nguyen Duy MSc
Publikationen
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2025
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(epsilon, delta)-differentially private partial least squares regression
Nikzad-Langerodi, R., Kumar, M., Duy, D. N., & Alghasi, M. (2025). (ε,δ)-differentially private partial least squares regression. Chemometrics and Intelligent Laboratory Systems, 264, 105465.
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VFLBench: A Practical Benchmark for Vertical Federated Learning in Manufacturing
Nguyen Duy, D., Nikzad-Langerodi, R., & Affenzeller, M. (2025). VFLBench: A Practical Benchmark for Vertical Federated Learning in Smart Manufacturing. Computer Aided Systems Theory – EUROCAST 2024, 45–52.
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Trend detection using Mann-Kendall test
Duy, D. N., & Himmelbauer, J. (2025). A Two-Step Approach for Trend Detection in Injection Molding: Mann-Kendall Test and Decision Trees. Procedia Computer Science, 253, 2003–2013.
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2024
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P3LS: Partial Least Squares under privacy preservation
Nguyen Duy, D., & Nikzad-Langerodi, R. (2024). P3LS: Partial Least Squares under privacy preservation. Journal of Process Control, 138, 103229.
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FedMSPC: A Federated Multivariate Statistical Process Control Framework For Privacy-preserving Process Modeling Across Company Borders
Nguyen Duy, D., Gabauer, D., & Nikzad-Langerodi, R. (2024). FedMSPC: A Federated Multivariate Statistical Process Control Framework For Privacy-Preserving Process Modeling Across Company Borders. Lecture Notes in Mechanical Engineering, 29–47.
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2023
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Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation
Nguyen Duy, D., Affenzeller, M., & Nikzad-Langerodi, R. (2023). Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation. Proceedings of the Companion Conference on Genetic and Evolutionary Computation.
Zur Publikation