1 citations · 1 across the 3 of their papers we have counts for
3 papers
Privacy-Preserving Federated Unsupervised Domain Adaptation for Regression on Small-Scale and High-Dimensional Biological Data
Cem Ata Baykara, Ali Burak Ünal, Nico Pfeifer +1
Machine learning models often struggle with generalization in small, heterogeneous datasets due to domain shifts caused by variations in data collection and population differences.…
Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach
Sofiane Ouaari, Ali Burak Ünal, Mete Akgün +1
Several domains increasingly rely on machine learning in their applications. The resulting heavy dependence on data has led to the emergence of various laws and regulations around…
Partially blind domain adaptation for age prediction from DNA methylation data
Lisa Handl, Adrin Jalali, Michael Scherer +1
Over the last years, huge resources of biological and medical data have become available for research. This data offers great chances for machine learning applications in health ca…