Large collaborative research networks provide opportunities to jointly analyze multicenter
electronic health record (EHR) data, which can improve the sample size, diversity of the …

Large collaborative research networks provide opportunities to jointly analyze multicenter
electronic health record (EHR) data, which can improve the sample size, diversity of the …

Data from multiple organizations are crucial for advancing learning health systems.
However, ethical, legal, and social concerns may restrict the use of standard statistical …

In medical research, individual-level patient data provide invaluable information, but the
patients' right to confidentiality remains of utmost priority. This poses a huge challenge when …

We propose a federated linear mixed-effects (LME) model to perform a large-scale analysis
of data gathered from different collaborations without the need to pool or share the actual …

Mutual transfer learning aims to improve prediction with knowledge from related domains.
Recently, federated learning is applied in this field to address the communication and …

Dans ce mémoire, on exposera des méthodes d'inférence pour modèles linéaires
généralisés (MLG) en présence de données horizontalement partitionnées. Ce type …