VertiBayes: Learning Bayesian network parameters from vertically partitioned data with missing values

Florian van Daalen, Lianne Ippel, Andre Dekker +1

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 art…