Publications
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Irene Balelli, Santiago Silva and Marco Lorenzi. A Probabilistic Framework for Modeling the Variability Across Federated Datasets of Heterogeneous Multi-View Observations. In Proceedings of The 27th international conference on Information Processing in Medical Imaging (IPMI), 2021. link
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Yann Fraboni, Richard Vidal and Marco Lorenzi. Free-rider Attacks on Model Aggregation in Federated Learning. In Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1846-1854, 2021. link
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Santiago Silva, Andre Altmann, Boris Gutman, and Marco Lorenzi. Fed-BioMed: A General Open-Source Frontend Framework for Federated Learning in Healthcare. Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning. Springer, Cham, 2020. 201-210. link
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Santiago Silva, Boris Gutman, Barbara Bardoni, Paul M Thompson, Andre Altmann and Marco Lorenzi. Multivariate Learning in Distributed Biomedical Databases: Meta-analysis of Large-scale Brain Imaging Data. IEEE International Symposium on Biomedical Imaging (ISBI), Venice, 2019. link
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Marco Lorenzi, Boris Gutman, Paul M. Thompson, Daniel C. Alexander, Sebastien Ourselin, Andre Altmann. Secure multivariate large-scale multi-centric analysis through on-line learning: an imaging genetics case study. Proceedings of the 12th International Symposium on Medical Information Processing and Analysis. link