AnonML: Locally Private Machine Learning over a Network of Peers


We present AnonML, a system for privacy-preserving model generation over a network of peers. Our goal is to allow a group of users to combine enough data to generate useful machine learning models without revealing private information. In our setting, each peer has a single row of featurized data according to a shared schema, and an aggregator would like to… (More)
DOI: 10.1109/DSAA.2017.80


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