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ORCIDReihaneh Torkzadehmahani
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Journal Articles
- 2024
[j2]Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Daniel Rueckert, Georgios Kaissis:
Kernel Normalized Convolutional Networks. Trans. Mach. Learn. Res. 2024 (2024)- 2023
- [j1]Reihaneh Torkzadehmahani, Reza Nasirigerdeh, Daniel Rueckert, Georgios Kaissis:
Label Noise-Robust Learning using a Confidence-Based Sieving Strategy. Trans. Mach. Learn. Res. 2023 (2023)
Conference and Workshop Papers
- 2021
- [c2]Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Jan Baumbach, David B. Blumenthal
:
On the Privacy of Federated Pipelines. SIGIR 2021: 1975-1979 - 2019
- [c1]Reihaneh Torkzadehmahani, Peter Kairouz, Benedict Paten:
DP-CGAN: Differentially Private Synthetic Data and Label Generation. CVPR Workshops 2019: 98-104
Informal and Other Publications
- 2022
- [i7]Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Daniel Rueckert, Georgios Kaissis:
Kernel Normalized Convolutional Networks. CoRR abs/2205.10089 (2022) - [i6]Reihaneh Torkzadehmahani, Reza Nasirigerdeh, Daniel Rueckert, Georgios Kaissis:
Label Noise-Robust Learning using a Confidence-Based Sieving Strategy. CoRR abs/2210.05330 (2022) - 2021
- [i5]Julian O. Matschinske, Julian Späth, Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Anne Hartebrodt, Balázs Orbán, Sándor Fejér, Olga I. Zolotareva, Mohammad Bakhtiari, Béla Bihari, Marcus D. Bloice, Nina C. Donner, Walid Fdhila, Tobias Frisch, Anne-Christin Hauschild, Dominik Heider, Andreas Holzinger, Walter Hötzendorfer, Jan Hospes, Tim Kacprowski, Markus Kastelitz, Markus List, Rudolf Mayer, Mónika Moga, Heimo Müller, Anastasia Pustozerova, Richard Röttger, Anna Saranti, Harald H. H. W. Schmidt, Christof Tschohl, Nina Kerstin Wenke, Jan Baumbach:
The FeatureCloud AI Store for Federated Learning in Biomedicine and Beyond. CoRR abs/2105.05734 (2021) - [i4]Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Julian O. Matschinske, Jan Baumbach, Daniel Rueckert, Georgios Kaissis:
HyFed: A Hybrid Federated Framework for Privacy-preserving Machine Learning. CoRR abs/2105.10545 (2021) - 2020
- [i3]Reihaneh Torkzadehmahani, Peter Kairouz, Benedict Paten:
DP-CGAN: Differentially Private Synthetic Data and Label Generation. CoRR abs/2001.09700 (2020) - [i2]Reihaneh Torkzadehmahani, Reza Nasirigerdeh, David B. Blumenthal, Tim Kacprowski, Markus List, Julian O. Matschinske, Julian Späth, Nina Kerstin Wenke, Béla Bihari, Tobias Frisch, Anne Hartebrodt, Anne-Christin Hauschild, Dominik Heider, Andreas Holzinger, Walter Hötzendorfer, Markus Kastelitz, Rudolf Mayer, Cristian Nogales, Anastasia Pustozerova, Richard Röttger, Harald H. H. W. Schmidt, Ameli Schwalber, Christof Tschohl, Andrea Wohner, Jan Baumbach:
Privacy-preserving Artificial Intelligence Techniques in Biomedicine. CoRR abs/2007.11621 (2020) - [i1]Mohammad Bakhtiari, Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Amirhossein Bayat, David B. Blumenthal, Markus List, Jan Baumbach:
Federated Multi-Mini-Batch: An Efficient Training Approach to Federated Learning in Non-IID Environments. CoRR abs/2011.07006 (2020)
Coauthor Index
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last updated on 2024-08-10 01:22 CEST by the dblp team
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