Reihaneh Torkzadehmahani

sPLINK: A Federated, Privacy-Preserving Tool as a Robust Alternative to Meta-Analysis in Genome-Wide Association Studies

Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Julian Matschinske, 2020, bioRxiv.

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

Jan Baumbach, David B. Blumenthal, Reza Nasirigerdeh, 2020, ArXiv.

Flimma: a federated and privacy-preserving tool for differential gene expression analysis.

David B. Blumenthal, Reza Nasirigerdeh, Reihaneh Torkzadehmahani, 2020, 2010.16403.

Privacy-Preserving Artificial Intelligence Techniques in Biomedicine pdf

Andreas Holzinger, Jan Baumbach, David B. Blumenthal, 2020, Methods of information in medicine.

DP-CGAN: Differentially Private Synthetic Data and Label Generation

Reihaneh Torkzadehmahani, Benedict Paten, Peter Kairouz, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

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

Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Tobias Frisch, 2021, ArXiv.

On the Privacy of Federated Pipelines

David B. Blumenthal, Reza Nasirigerdeh, Reihaneh Torkzadehmahani, 2021, SIGIR.

Privacy-Preserving Artificial Intelligence Techniques in Biomedicine

Andreas Holzinger, David B. Blumenthal, Reza Nasirigerdeh, 2020, Methods of information in medicine.

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

Daniel Rueckert, Reza Nasirigerdeh, Reihaneh Torkzadehmahani, 2021, ArXiv.