Mónica Ribero

According to our database, Mónica Ribero authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Reducing communication in federated learning via efficient client sampling.

Mónica Ribero, Haris Vikalo

Pattern Recognit., April, 2024

Privately Counting Partially Ordered Data.

Matthew Joseph, Mónica Ribero, Alexander Yu

CoRR, 2024

Privacy of the last iterate in cyclically-sampled DP-SGD on nonconvex composite losses.

Weiwei Kong, Mónica Ribero

CoRR, 2024

DP-Auditorium: A Large-Scale Library for Auditing Differential Privacy.

William Kong, Andrés Muñoz Medina, Mónica Ribero, Umar Syed

Proceedings of the IEEE Symposium on Security and Privacy, 2024

2023

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

Mónica Ribero, Haris Vikalo, Gustavo de Veciana

IEEE J. Sel. Top. Signal Process., January, 2023

DP-SGD for non-decomposable objective functions.

William Kong, Andrés Muñoz Medina, Mónica Ribero

CoRR, 2023

RényiTester: A Variational Approach to Testing Differential Privacy.

William Kong, Andrés Muñoz Medina, Mónica Ribero

CoRR, 2023

Easy Differentially Private Linear Regression.

Kareem Amin, Matthew Joseph, Mónica Ribero, Sergei Vassilvitskii

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Federating recommendations using differentially private prototypes.

Mónica Ribero, Jette Henderson, Sinead Williamson, Haris Vikalo

Pattern Recognit., 2022

A Joint Exponential Mechanism For Differentially Private Top-k.

Jennifer Gillenwater, Matthew Joseph, Andres Muñoz Medina, Mónica Ribero Diaz

Proceedings of the International Conference on Machine Learning, 2022

2021

(Nearly) Dimension Independent Private ERM with AdaGrad Ratesvia Publicly Estimated Subspaces.

Peter Kairouz, Mónica Ribero Diaz, Keith Rush, Abhradeep Thakurta

Proceedings of the Conference on Learning Theory, 2021

2020

Dimension Independence in Unconstrained Private ERM via Adaptive Preconditioning.

Peter Kairouz, Mónica Ribero, Keith Rush, Abhradeep Thakurta

CoRR, 2020

Communication-Efficient Federated Learning via Optimal Client Sampling.

Mónica Ribero, Haris Vikalo

CoRR, 2020

2019

MmWave Vehicular Beam Selection With Situational Awareness Using Machine Learning.

Yuyang Wang, Aldebaro Klautau, Mónica Ribero, Anthony C. K. Soong, Robert W. Heath Jr.

IEEE Access, 2019

Deep Learning Propagation Models over Irregular Terrain.

Mónica Ribero, Robert W. Heath Jr., Haris Vikalo, Dmitry Chizhik, Reinaldo A. Valenzuela

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

MmWave Vehicular Beam Training with Situational Awareness by Machine Learning.

Yuyang Wang, Aldebaro Klautau, Mónica Ribero, Murali Narasimha, Robert W. Heath Jr.

Proceedings of the IEEE Globecom Workshops, 2018