3 papers
q-bio.GN2026
Privacy-preserving federated tensor decomposition of single-cell immune data: recovering multicellular programs across institutions
Axel Faes, Stephanie M. van den Berg, Maryam Amir Haeri
Tensor decomposition of donor cell-type gene single-cell data recovers \emph{multicellular programs}: coordinated axes of inter-individual transcriptional variati…
cs.DC2026
Development and Design of FLKit: A Structured Onboarding Toolkit for Federated Learning in Health and Life Sciences
Ashkan Pirmani, Ilse Vermeulen, Goran Vinterhalter +7
Federated learning lets institutions train shared models without moving their data, which makes it a natural fit for health and life sciences research under strict privacy regulati…
cs.LG2024
Federated Block-Term Tensor Regression for decentralised data analysis in healthcare
Axel Faes, Ashkan Pirmani, Yves Moreau +1
Block-Term Tensor Regression (BTTR) has proven to be a powerful tool for modeling complex, high-dimensional data by leveraging multilinear relationships, making it particularly wel…