Mónica Ribero | DeepAI

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Featured Co-authors

Peter Kairouz
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Abhradeep Thakurta
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Sergei Vassilvitskii
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Andres Munoz Medina
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Kareem Amin
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∙ 07/10/2023

RényiTester: A Variational Approach to Testing Differential Privacy

Governments and industries have widely adopted differential privacy as a...

0 William Kong, et al. ∙

∙ 08/15/2022

Easy Differentially Private Linear Regression

Linear regression is a fundamental tool for statistical analysis. This h...

0 Kareem Amin, et al. ∙

∙ 05/13/2022

Federated Learning Under Intermittent Client Availability and Time-Varying Communication Constraints

Federated learning systems facilitate training of global models in setti...

3 Mónica Ribero, et al. ∙

∙ 01/28/2022

A Joint Exponential Mechanism For Differentially Private Top-k

We present a differentially private algorithm for releasing the sequence...

0 Jennifer Gillenwater, et al. ∙

∙ 08/14/2020

Dimension Independence in Unconstrained Private ERM via Adaptive Preconditioning

In this paper we revisit the problem of private empirical risk minimziat...

0 Peter Kairouz, et al. ∙

∙ 07/30/2020

Communication-Efficient Federated Learning via Optimal Client Sampling

Federated learning is a private and efficient framework for learning mod...

0 Mónica Ribero, et al. ∙

∙ 03/01/2020

Federating Recommendations Using Differentially Private Prototypes

Machine learning methods allow us to make recommendations to users in ap...

0 Mónica Ribero, et al. ∙

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