Accessibility of covariance information creates vulnerability in Federated Learning frameworks. - Manuel Huth; Jonas Arruda; Roy Gusinow; Lorenzo Contento; Evelina Tacconelli; Jan Hasenauer (Bioinform., 2023)

Big data- and artificial intelligence-based hot-spot analysis of COVID-19: Gauteng, South Africa, as a case study. - Benjamin Lieberman; Jude Dzevela Kong; Roy Gusinow; Ali Asgary; Nicola Luigi Bragazzi; Joshua Choma; Salah-Eddine Dahbi; Kentaro Hayashi; Deepak Kar; Mary Kawonga; Mduduzi Mbada; Kgomotso Monnakgotla; et al. (BMC Medical Informatics Decis. Mak., 2023)

Data infrastructure for integrating clinical data in the large-scale international ORCHESTRA cohort: from data import to federated analysis. - Miroslav Puskaric; Hammam Abu Attieh; Fabian Prasser; Roy Gusinow; Chiara Dellacasa; Elisa Rossi; Juan Mata Naranjo; Lorenzo Maria Canziani; Anna Górska; Jan Hasenauer (IEEE Big Data, 2024)

Privacy-Preserving Workflow for the Cross-Border Federated Analysis of Clinical Data. - Miroslav Puskaric; Balasubramanian Chandramouli; Thomas Osmo; Roy Gusinow; Chiara Dellacasa; Elisa Rossi; Salvatore Cataudella; Anna Górska; Eugenia Rinaldi (MIE, 2024)