Marco LorenziMarco Lorenzi is a tenured research scientist (CR) in the EPIONE team of Inria Sophia Antipolis and Université Côte d'Azur. His research is on the study of statistical learning methods to model heterogeneous and secured data in biomedical application. He also leads the development of the open-source federated learning platform Fed-BioMed.
His current research topics include:
Federated learning (FL) methods for the modeling of multicentric data with various degree of heterogeneity (across clients' features, labels, and with missing data),
interpretable data modeling approaches for heterogeneous and high-dimensional data. Read More Read Less