Reza Nasirigerdeh

According to our database, Reza Nasirigerdeh authored at least 14 papers between 2018 and 2024.

Collaborative distances:

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

2024

Kernel Normalized Convolutional Networks.

Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Daniel Rueckert, Georgios Kaissis

Trans. Mach. Learn. Res., 2024

Improved Localized Machine Unlearning Through the Lens of Memorization.

Reihaneh Torkzadehmahani, Reza Nasirigerdeh, Georgios Kaissis, Daniel Rueckert, Gintare Karolina Dziugaite, Eleni Triantafillou

CoRR, 2024

Machine Unlearning for Medical Imaging.

Reza Nasirigerdeh, Nader Razmi, Julia A. Schnabel, Daniel Rueckert, Georgios Kaissis

CoRR, 2024

2023

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

Reihaneh Torkzadehmahani, Reza Nasirigerdeh, Daniel Rueckert, Georgios Kaissis

Trans. Mach. Learn. Res., 2023

Kernel Normalized Convolutional Networks for Privacy-Preserving Machine Learning.

Reza Nasirigerdeh, Javad Torkzadehmahani, Daniel Rueckert, Georgios Kaissis

Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

Utility-preserving Federated Learning.

Reza Nasirigerdeh, Daniel Rueckert, Georgios Kaissis

Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023

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

Federated Principal Component Analysis for Genome-Wide Association Studies.

Anne Hartebrodt, Reza Nasirigerdeh, David B. Blumenthal, Richard Röttger

Proceedings of the IEEE International Conference on Data Mining, 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

2018

Tintenfisch: File System Namespace Schemas and Generators.

Michael A. Sevilla, Reza Nasirigerdeh, Carlos Maltzahn, Jeff LeFevre, Noah Watkins, Peter Alvaro, Margaret Lawson, Jay F. Lofstead, Jim Pivarski

Proceedings of the 10th USENIX Workshop on Hot Topics in Storage and File Systems, 2018

Programmable Caches with a Data Management Language and Policy Engine.

Michael A. Sevilla, Carlos Maltzahn, Peter Alvaro, Reza Nasirigerdeh, Bradley W. Settlemyer, Danny Perez, David Rich, Galen M. Shipman

Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018