Julian Späth

According to our database, Julian Späth authored at least 5 papers between 2020 and 2024.

Collaborative distances:

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

2024

Privacy-Preserving Multi-Center Differential Protein Abundance Analysis with FedProt.

Yuliya Burankova, Miriam Abele, Mohammad Bakhtiari, Christine von Törne, Teresa Barth, Lisa Schweizer, Pieter Giesbertz, Johannes R. Schmidt, Stefan Kalkhof, Janina Müller-Deile, Peter A. van Veelen, Yassene Mohammed, Elke Hammer, Lis Arend, Klaudia Adamowicz, Tanja Laske, Anne Hartebrodt, Tobias Frisch, Chen Meng, Julian O. Matschinske, Julian Späth, Richard Röttger, Veit Schwämmle, Stefanie M. Hauck, Stefan Lichtenthaler, Axel Imhof, Matthias Mann, Christina Ludwig, Bernhard Küster, Jan Baumbach, Olga I. Zolotareva

CoRR, 2024

2022

dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning.

Han Cao, Youcheng Zhang, Jan Baumbach, Paul R. Burton, Dominic B. Dwyer, Nikolaos Koutsouleris, Julian O. Matschinske, Yannick Marcon, Sivanesan Rajan, Thilo Rieg, Patricia Ryser-Welch, Julian Späth, Carl Herrmann, Emanuel Schwarz

Bioinform., October, 2022

2021

Lessons from the COVID-19 pandemic for advancing computational drug repurposing strategies.

Gihanna Galindez, Julian O. Matschinske, Tim D. Rose, Sepideh Sadegh, Marisol Salgado-Albarrán, Julian Späth, Jan Baumbach, Josch Konstantin Pauling

Nat. Comput. Sci., 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

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