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most citedEntropy and the Kullback-Leibler Divergence for Bayesian Networks: Computational Complexity and Efficient Implementation

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q-bio.OT2025

Technical and Legal Aspects of Federated Learning in Bioinformatics: Applications, Challenges and Opportunities

Daniele Malpetti, Marco Scutari, Francesco Gualdi +6

Federated learning leverages data across institutions to improve clinical discovery while complying with data-sharing restrictions and protecting patient privacy. This paper provid…