Towards a Realistic Decentralized Naive Bayes with Differential Privacy
Lodovico Giaretta,
Thomas Marchioro,
Evangelos Markatos
et al.
Abstract:This is an extended version of our work in [16]. In this paper, we introduce two novel algorithms to collaboratively train Naive Bayes models across multiple private data sources: Federated Naive Bayes and Gossip Naive Bayes. Instead of directly providing access to their data, the data owners compute local updates that are then aggregated to build a global model. In order to also prevent indirect privacy leaks from the updates or from the final model, our algorithms protect the exchanged information with diffe… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.