431 citations · 503 across the 3 of their papers we have counts for
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cs.LG2020★ 2 cited
Boosted and Differentially Private Ensembles of Decision Trees
Richard Nock, Wilko Henecka
Boosted ensemble of decision tree (DT) classifiers are extremely popular in international competitions, yet to our knowledge nothing is formally known on how to make them \textit{a…
cs.LG2017★ 431 cited
Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption
Stephen Hardy, Wilko Henecka, Hamish Ivey-Law +4
Consider two data providers, each maintaining private records of different feature sets about common entities. They aim to learn a linear model jointly in a federated setting, name…