Reihaneh Torkzadehmahani

According to our database, Reihaneh Torkzadehmahani authored at least 8 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Label Noise-Robust Learning using a Confidence-Based Sieving Strategy.

Reihaneh Torkzadehmahani, Reza Nasirigerdeh, Daniel Rueckert, Georgios Kaissis

CoRR, 2022

Kernel Normalized Convolutional Networks.

Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Daniel Rueckert, Georgios Kaissis

CoRR, 2022

2021

HyFed: A Hybrid Federated Framework for Privacy-preserving Machine Learning.

Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Julian O. Matschinske, Jan Baumbach, Daniel Rueckert, Georgios Kaissis

CoRR, 2021

The FeatureCloud AI Store for Federated Learning in Biomedicine and Beyond.

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

CoRR, 2021

On the Privacy of Federated Pipelines.

Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Jan Baumbach, David B. Blumenthal

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020

Federated Multi-Mini-Batch: An Efficient Training Approach to Federated Learning in Non-IID Environments.

Mohammad Bakhtiari, Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Amirhossein Bayat, David B. Blumenthal, Markus List, Jan Baumbach

CoRR, 2020

Privacy-preserving Artificial Intelligence Techniques in Biomedicine.

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

CoRR, 2020

2019

DP-CGAN: Differentially Private Synthetic Data and Label Generation.

Reihaneh Torkzadehmahani, Peter Kairouz, Benedict Paten

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019