4 papers
Federated Survival Analysis in Healthcare: A Multi-Model Evaluation on Cross-Institutional Heterogeneous Breast Cancer Data
Natalia Moreno-Blasco, Anusha Ihalapathirana, Pekka Siirtola +1
Survival analysis is central to clinical decision-making, yet reliable time-to-event models require large, diverse cohorts that are rarely available at a single institution, while…
When Does Gene Regulatory Network Inference Break? A Controlled Diagnostic Study of Causal and Correlational Methods on Single-Cell Data
Miguel Fernandez-de-Retana, Ruben Sanchez-Corcuera, Unai Zulaika +2
Despite theoretical advantages, causal methods for Gene Regulatory Network (GRN) inference from single-cell RNA-seq data consistently fail to match or outperform correlation-based…
A Causal Graph Approach to Oppositional Narrative Analysis
Diego Revilla, Martin Fernandez-de-Retana, Lingfeng Chen +2
Current methods for textual analysis rely on data annotated within predefined ontologies, often embedding human bias within black-box models. Despite achieving near-perfect perform…
Differential Privacy: Gradient Leakage Attacks in Federated Learning Environments
Miguel Fernandez-de-Retana, Unai Zulaika, Rubén Sánchez-Corcuera +1
Federated Learning (FL) allows for the training of Machine Learning models in a collaborative manner without the need to share sensitive data. However, it remains vulnerable to Gra…