2 papers
cs.LG2026
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…
cs.LG2025
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…