34 citations · 34 across the 1 of their papers we have counts for
2 papers
cs.CR2022★ 34 cited
Federated Boosted Decision Trees with Differential Privacy
Samuel Maddock, Graham Cormode, Tianhao Wang +2
There is great demand for scalable, secure, and efficient privacy-preserving machine learning models that can be trained over distributed data. While deep learning models typically…
cs.DB2021
Frequency Estimation under Local Differential Privacy [Experiments, Analysis and Benchmarks]
Graham Cormode, Samuel Maddock, Carsten Maple
Private collection of statistics from a large distributed population is an important problem, and has led to large scale deployments from several leading technology companies. The…