12 citations · 17 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 5 cited
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…
cs.CR2021★ 12 cited
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…