Distributed Skin Lesion Analysis Across Decentralised Data Sources. - Yongli Mou; Sascha Welten; Mehrshad Jaberansary; Yeliz Ucer Yediel; Toralf Kirsten; Stefan Decker; Oya Beyan (MIE, 2021)

Distributed Learning for Melanoma Classification using Personal Health Train. - Yongli Mou; Sascha Welten; Yeliz Ucer Yediel; Toralf Kirsten; Oya Deniz Beyan (CoRR, 2021)

DAMS: A Distributed Analytics Metadata Schema. - Sascha Welten; Laurenz Neumann; Yeliz Ucer Yediel; Luiz Olavo Bonino da Silva Santos; Stefan Decker; Oya Beyan (Data Intell., 2021)

Distributed Privacy-Preserving Data Analysis in NFDI4Health With the Personal Health Train. - Yongli Mou; Feifei Li; Sven Weber; Sabith Haneef; Hans Meine; Liliana Caldeira; Mehrshad Jaberansary; Sascha Welten; Yeliz Ucer Yediel; Guido P. M. Prause; Stefan Decker; Oya Beyan; et al. (CoRDI, 2023)

PADME-SoSci: A Platform for Analytics and Distributed Machine Learning for the Social Sciences. - Zeyd Boukhers; Arnim Bleier; Yeliz Ucer Yediel; Mio Hienstorfer-Heitmann; Mehrshad Jaberansary; Sascha Welten; Adamantios Koumpis; Oya Beyan (JCDL, 2023)

Analyzing Distributed Medical Data in FAIR Data Spaces. - Mehrshad Jaberansary; Macedo Maia; Yeliz Ucer Yediel; Oya Beyan; Toralf Kirsten (WWW (Companion Volume), 2023)

PADME-SoSci: A Platform for Analytics and Distributed Machine Learning for the Social Sciences. - Zeyd Boukhers; Arnim Bleier; Yeliz Ucer Yediel; Mio Hienstorfer-Heitmann; Mehrshad Jaberansary; Adamantios Koumpis; Oya Beyan (CoRR, 2023)

Privacy-Preserving Linkage of Distributed Datasets using the Personal Health Train. - Maximilian Jugl; Sascha Welten; Yongli Mou; Yeliz Ucer Yediel; Oya Deniz Beyan; Ulrich Sax; Toralf Kirsten (CoRR, 2023)

From Theory to Practice: Demonstrators of FAIR Data Spaces Across Different Sectors. - Nikolaus Glombiewski; Zeyd Boukhers; Christian Beilschmidt; Johannes Drönner; Michael Mattig; Artur Piet; Robert Pietrzynski; Mehrshad Jaberansary; Macedo Maia; Sebastian Beyvers; Yeliz Üçer Yediel; Muhammad Hamza Akhtar; et al. (SAC, 2025)