62 citations · 77 across the 7 of their papers we have counts for
3 papers · 1 filter
Easy Differentially Private Linear Regression
Kareem Amin, Matthew Joseph, Mónica Ribero +1
Linear regression is a fundamental tool for statistical analysis. This has motivated the development of linear regression methods that also satisfy differential privacy and thus gu…
Federated Learning Under Intermittent Client Availability and Time-Varying Communication Constraints
Monica Ribero, Haris Vikalo, Gustavo De Veciana
Federated learning systems facilitate training of global models in settings where potentially heterogeneous data is distributed across a large number of clients. Such systems opera…
A Joint Exponential Mechanism For Differentially Private Top-
Jennifer Gillenwater, Matthew Joseph, Andrés Muñoz Medina +1
We present a differentially private algorithm for releasing the sequence of elements with the highest counts from a data domain of elements. The algorithm is a "joint" inst…