most citedDifferentially Private Federated Learning for Cancer Prediction

16 citations · 16 across the 4 of their papers we have counts for

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math.ST2023

False discovery proportion envelopes with m-consistency

Iqraa Meah, Gilles Blanchard, Etienne Roquain

We provide new non-asymptotic false discovery proportion (FDP) confidence envelopes in several multiple testing settings relevant for modern high dimensional-data methods. We revis…