May 22, 2024, 4:11 a.m. | Florian van Daalen, Lianne Ippel, Andre Dekker, Inigo Bermejo

cs.CR updates on

arXiv:2210.17228v2 Announce Type: replace-cross
Abstract: Federated learning makes it possible to train a machine learning model on decentralized data. Bayesian networks are probabilistic graphical models that have been widely used in artificial intelligence applications. Their popularity stems from the fact they can be built by combining existing expert knowledge with data and are highly interpretable, which makes them useful for decision support, e.g. in healthcare. While some research has been published on the federated learning of Bayesian networks, publications on …

applications artificial artificial intelligence arxiv can cs.lg data decentralized decentralized data expert fact federated federated learning intelligence machine machine learning missing network networks train

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