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Ribero, Monica
50  Ergebnisse:
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1

Reducing communication in federated learning via efficient ..:

Ribero, Mónica ; Vikalo, Haris
Pattern Recognition.  148 (2024)  - p. 110122 , 2024
Link: https://doi.org/10.1016/..
 
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2

Federated Learning at Scale: Addressing Client Intermittenc..:

Ribero, Mónica ; Vikalo, Haris ; de Veciana, Gustavo
IEEE Journal of Selected Topics in Signal Processing.  , 2024
Link: https://doi.org/10.1109/..
 
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3

Federated Learning Under Intermittent Client Availability a..:

Ribero, Monica ; Vikalo, Haris ; de Veciana, Gustavo
IEEE Journal of Selected Topics in Signal Processing.  17 (2023)  1 - p. 98-111 , 2023
Link: https://doi.org/10.1109/..
 
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4

Federating recommendations using differentially private pro..:

Ribero, Mónica ; Henderson, Jette ; Williamson, Sinead.
Pattern Recognition.  129 (2022)  - p. 108746 , 2022
Link: https://doi.org/10.1016/..
 
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5

MmWave Vehicular Beam Selection With Situational Awareness ..:

Wang, Yuyang ; Klautau, Aldebaro ; Ribero, Mónica..
IEEE Access.  7 (2019)  - p. 87479-87493 , 2019
Link: https://doi.org/10.1109/..
 
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6

DP-Auditorium: a Large Scale Library for Auditing Different..:

Kong, William ; Medina, Andrés Muñoz ; Ribero, Mónica.
http://arxiv.org/abs/2307.05608.  , 2023
Link: http://arxiv.org/abs/230..
 
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7

DP-SGD for non-decomposable objective functions:

Kong, William ; Medina, Andrés Muñoz ; Ribero, Mónica
http://arxiv.org/abs/2310.03104.  , 2023
Link: http://arxiv.org/abs/231..
 
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8

Easy Differentially Private Linear Regression:

Amin, Kareem ; Joseph, Matthew ; Ribero, Mónica.
http://arxiv.org/abs/2208.07353.  , 2022
Link: http://arxiv.org/abs/220..
 
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9

Federated Learning Under Intermittent Client Availability a..:

Ribero, Monica ; Vikalo, Haris ; De Veciana, Gustavo
http://arxiv.org/abs/2205.06730.  , 2022
Link: http://arxiv.org/abs/220..
 
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10

A Joint Exponential Mechanism For Differentially Private To..:

Gillenwater, Jennifer ; Joseph, Matthew ; Medina, Andrés Muñoz.
http://arxiv.org/abs/2201.12333.  , 2022
Link: http://arxiv.org/abs/220..
 
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11

Federating Recommendations Using Differentially Private Pro..:

Ribero, Mónica ; Henderson, Jette ; Williamson, Sinead.
http://arxiv.org/abs/2003.00602.  , 2020
Link: http://arxiv.org/abs/200..
 
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12

Fast Dimension Independent Private AdaGrad on Publicly Esti..:

Kairouz, Peter ; Ribero, Mónica ; Rush, Keith.
http://arxiv.org/abs/2008.06570.  , 2020
Link: http://arxiv.org/abs/200..
 
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13

Communication-Efficient Federated Learning via Optimal Clie..:

Ribero, Monica ; Vikalo, Haris
http://arxiv.org/abs/2007.15197.  , 2020
Link: http://arxiv.org/abs/200..
 
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14

MmWave Vehicular Beam Selection With Situational Awareness ..:

Yuyang Wang ; Aldebaro Klautau ; Monica Ribero..
https://ieeexplore.ieee.org/document/8734054/.  , 2019
Link: https://doi.org/10.1109/..
 
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15

Una comparación de diferentes modelos para la predicción de..:

Barreras Cortés, Jorge Francisco José ; Díaz, Carlos ; Riascos Villegas, Alvaro José.
Documentos CEDE No. 34 Noviembre de 2016.  , 2016
Link: http://hdl.handle.net/19..
 
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