Mónica Ribero

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 16

Top Topics

Disaster Response

Nonlinear Regression

Situational Awareness

Locally Weighted

Top Venues

Pattern Recognit.

IEEE J. Sel. Top. Signal Process.

GLOBECOM Workshops

Publications

Mónica Ribero, Haris Vikalo
Reducing communication in federated learning via efficient client sampling. Pattern Recognit. 148 (2024)
Weiwei Kong, Mónica Ribero
Privacy of the last iterate in cyclically-sampled DP-SGD on nonconvex composite losses. CoRR (2024)
Kareem Amin, Matthew Joseph, Mónica Ribero, Sergei Vassilvitskii
Easy Differentially Private Linear Regression. ICLR (2023)
Mónica Ribero, Haris Vikalo, Gustavo de Veciana
Federated Learning Under Intermittent Client Availability and Time-Varying Communication Constraints. IEEE J. Sel. Top. Signal Process. 17 (1) (2023)
William Kong, Andrés Muñoz Medina, Mónica Ribero
RényiTester: A Variational Approach to Testing Differential Privacy. CoRR (2023)
William Kong, Andrés Muñoz Medina, Mónica Ribero
DP-SGD for non-decomposable objective functions. CoRR (2023)
Mónica Ribero, Haris Vikalo, Gustavo de Veciana
Federated Learning Under Intermittent Client Availability and Time-Varying Communication Constraints. CoRR (2022)
Mónica Ribero, Jette Henderson, Sinead Williamson, Haris Vikalo
Federating recommendations using differentially private prototypes. Pattern Recognit. 129 (2022)
Kareem Amin, Matthew Joseph, Mónica Ribero, Sergei Vassilvitskii
Easy Differentially Private Linear Regression. CoRR (2022)
Jennifer Gillenwater, Matthew Joseph, Andrés Muñoz Medina, Mónica Ribero
A Joint Exponential Mechanism For Differentially Private Top-k. CoRR (2022)
Mónica Ribero, Haris Vikalo
Communication-Efficient Federated Learning via Optimal Client Sampling. CoRR (2020)
Peter Kairouz, Mónica Ribero, Keith Rush, Abhradeep Thakurta
Dimension Independence in Unconstrained Private ERM via Adaptive Preconditioning. CoRR (2020)
Mónica Ribero, Jette Henderson, Sinead Williamson, Haris Vikalo
Federating Recommendations Using Differentially Private Prototypes. CoRR (2020)
Mónica Ribero, Robert W. Heath Jr., Haris Vikalo, Dmitry Chizhik, Reinaldo A. Valenzuela
Deep Learning Propagation Models over Irregular Terrain. ICASSP (2019)
Yuyang Wang, Aldebaro Klautau, Mónica Ribero, Anthony C. K. Soong, Robert W. Heath Jr.
MmWave Vehicular Beam Selection With Situational Awareness Using Machine Learning. IEEE Access 7 (2019)
Yuyang Wang, Aldebaro Klautau, Mónica Ribero, Murali Narasimha, Robert W. Heath Jr.
MmWave Vehicular Beam Training with Situational Awareness by Machine Learning. GLOBECOM Workshops (2018)