( en | de | ru )

 

Disambiguation of "Mangold, Paul"

Author of the publication

copydeleteadd this publication to your clipboard
Differential Privacy has Bounded Impact on Fairness in Classification.

, , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 23681-23705. PMLR, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Ulrike Mangold

Wolfgang Mangold

Reinhard Mangold

Wolfgang Mangold

Ruth Mangold

 

Other publications of authors with the same name

A Decentralized Framework for Biostatistics and Privacy Concerns., , , , , , and . EFMI-STC, volume 275 of Studies in Health Technology and Informatics, page 137-141. IOS Press, (2020)Differential Privacy has Bounded Impact on Fairness in Classification., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 23681-23705. PMLR, (2023)Specifications for the Routine Implementation of Federated Learning in Hospitals Networks., , , , , and . MIE, volume 281 of Studies in Health Technology and Informatics, page 128-132. IOS Press, (2021)FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings., , , , , , , , , and 14 other author(s). NeurIPS, (2022)Differentially Private Coordinate Descent for Composite Empirical Risk Minimization., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 14948-14978. PMLR, (2022)High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent., , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 4894-4916. PMLR, (2023)High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent., , , and . CoRR, (2022)Exploiting Problem Structure in Privacy-Preserving Optimization and Machine Learning. (Exploitation de la Structure des Problèmes en Optimisation et en Apprentissage Automatique Respectueux de la Vie Privée).. University of Lille, France, (2023)The Relative Gaussian Mechanism and its Application to Private Gradient Descent., , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 3079-3087. PMLR, (2024)