12 citations · 17 across the 3 of their papers we have counts for
3 papers
Federated Bayesian Network Ensembles
Florian van Daalen, Lianne Ippel, Andre Dekker +1
Federated learning allows us to run machine learning algorithms on decentralized data when data sharing is not permitted due to privacy concerns. Ensemble-based learning works by t…
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…
Privacy preserving n-party scalar product protocol
Florian van Daalen, Inigo Bermejo, Lianne Ippel +1
Privacy-preserving machine learning enables the training of models on decentralized datasets without the need to reveal the data, both on horizontal and vertically partitioned data…