IMDEA Networks

MUDGUARD: Taming Malicious Majorities in Federated Learning using Privacy-Preserving Byzantine-Robust Clustering

Wang, Rui; Wang, Xingkai; Chen, Huanhuan; Decouchant, Jérémie; Picek, Stjepan; Laoutaris, Nikolaos; Liang, Kaitai (2025-06-09)

conference object

Learning to Learn How to Manage Network Resources with Loss Function Meta-Learning

Collet, Alan; Bazco-Nogueras, Antonio; Banchs, Albert; Fiore, Marco (IEEE, 2024)

magazine

Explainable and Transferable Loss Meta-Learning for Zero-Touch Anticipatory Network Management

Collet, Alan; Bazco-Nogueras, Antonio; Banchs, Albert; Fiore, Marco (IEEE, 2024-06)

journal article

Designing the Network Intelligence Stratum for 6G Networks

Soto, Paola; Camelo, Miguel; García-Avilés, Ginés; Municio, Esteban; Gramaglia, Marco; Kosmatos, Evangelos; Slamnik-Kriještorac, Nina; De Vleeschauwer, Danny; Bazco-Nogueras, Antonio; Fuentes, Lidia; Ballesteros, Joaquin; Lutu, Andra; Cominardi, Luca; Paez, Ivan; Alcalá-Marín, Sergi; Chatzieleftheriou, Livia Elena; Garcia-Saavedra, Andres; Fiore, Marco (Elsevier, 2024-12)

journal article

Metric meta-learning in deep learning models for intent-based networking

Collet, Alan (2024-09-19)

doctoral thesis

Sustainable Provision of URLLC Services for V2N: Analysis and Optimal Configuration

Chatzieleftheriou, Livia Elena; Pérez-Valero, Jesús; Martin Perez, Jorge; Serrano, Pablo (2024-10-14)

conference object

Uncovering Latent Patterns in Service-Level Spatiotemporal Mobile Traffic

Martínez-Durive, Orlando E.; Madariaga, Diego; Ray, Prashant K.; Amaro-Ramos, Daniel A.; Fiore, Marco (2024-09-29)

conference object

Demystifying Privacy in 5G Stand Alone Networks

Eleftherakis, Stavros; Otim, Timothy; Santaromita, Giuseppe; Diaz-Zayas, Almudena; Giustiniano, Domenico; Kourtellis, Nicolas (2024)

conference object

Examining 5G Adoption: Effects on Network Traffic and Mobile Service Usage

Mishra, Sachit; Zanella, André; Martínez-Durive, Orlando E.; Madariaga, Diego; Cezary, Ziemlicki; Fiore, Marco (2024-10-09)

conference object

Twinning Commercial Network Traces on Experimental Open RAN Platforms

Bonati, Leonardo; Shirkhani, Ravis; Fiandrino, Claudio; Maxenti, Stefano; D'Oro, Salvatore; Polese, Michele; Melodia, Tommaso (2024-11-18)

conference object

A Stacking Ensemble Machine Learning Strategy for COVID-19 Seroprevalence Estimations in the USA Based on Genetic Programming

Sagastabeitia, Gontzal; Doncel, Josu; Fernández Anta, Antonio; Aguilar, Jose; Ramirez, Juan Marcos (2024-08-01)

conference object

'Hey mum, I dropped my phone down the toilet': Investigating Hi Mum and Dad SMS Scams in the United Kingdom

Agarwal, Sharad; Harvey, Emma; Mariconti, Enrico; Suarez-Tangil, Guillermo; Vasek, Marie (2025)

conference object

User-Plane Algorithms for Stateless and Stateful Inference in Programmable Networks

Akem, Aristide Tanyi-Jong (2024-09-27)

doctoral thesis

Characterizing Large-Scale Mobile Traffic Measurements for Urban, Social and Networks Sciences

Zanella, André (2024-09-25)

doctoral thesis

I love pineapple on pizza != I hate pineapple on pizza: Stance-Aware Sentence Transformers for Opinion Mining

Ghafouri, Vahid; Such, Jose; Suarez-Tangil, Guillermo (2024-11-14)

conference object

A semi-supervised learning algorithm for multi-label classification and multi-assignment clustering problems based on a Multivariate Data Analysis

Quintero, Carlos; Aguilar, Jose (Elsevier, 2024-08-30)

journal article

COVID-19 seroprevalence estimation and forecasting in the USA from ensemble machine learning models using a stacking strategy

Sagastabeitia, Gontzal; Doncel, Josu; Aguilar, Jose; Fernández Anta, Antonio; Ramirez, Juan Marcos (Elsevier, 2024-08-15)

journal article

A Study of Malicious Source Code Reuse Among GitHub, StackOverflow and Underground Forums

Tereszkowski-Kaminski, Michal; Dash, Santanu Kumar; Suarez-Tangil, Guillermo (2024-09)

conference object

Characterizing, Modeling and Exploiting the Mobile Demand Footprint of Large Public Protests

Zanella, André; Madariaga, Diego; Mishra, Sachit; Martínez-Durive, Orlando E.; Smoreda, Zbigniew; Fiore, Marco (2024-11-04)

conference object

Towards Real-Time Intrusion Detection in P4-Programmable 5G User Plane Functions

Akem, Aristide Tanyi-Jong; Fiore, Marco (2024-10-28)

conference object

IMDEA Networks

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MUDGUARD: Taming Malicious Majorities in Federated Learning using Privacy-Preserving Byzantine-Robust Clustering

Learning to Learn How to Manage Network Resources with Loss Function Meta-Learning

Explainable and Transferable Loss Meta-Learning for Zero-Touch Anticipatory Network Management

Designing the Network Intelligence Stratum for 6G Networks

Metric meta-learning in deep learning models for intent-based networking

Sustainable Provision of URLLC Services for V2N: Analysis and Optimal Configuration

Uncovering Latent Patterns in Service-Level Spatiotemporal Mobile Traffic

Demystifying Privacy in 5G Stand Alone Networks

Examining 5G Adoption: Effects on Network Traffic and Mobile Service Usage

Twinning Commercial Network Traces on Experimental Open RAN Platforms

A Stacking Ensemble Machine Learning Strategy for COVID-19 Seroprevalence Estimations in the USA Based on Genetic Programming

'Hey mum, I dropped my phone down the toilet': Investigating Hi Mum and Dad SMS Scams in the United Kingdom

User-Plane Algorithms for Stateless and Stateful Inference in Programmable Networks

Characterizing Large-Scale Mobile Traffic Measurements for Urban, Social and Networks Sciences

I love pineapple on pizza != I hate pineapple on pizza: Stance-Aware Sentence Transformers for Opinion Mining

A semi-supervised learning algorithm for multi-label classification and multi-assignment clustering problems based on a Multivariate Data Analysis

COVID-19 seroprevalence estimation and forecasting in the USA from ensemble machine learning models using a stacking strategy

A Study of Malicious Source Code Reuse Among GitHub, StackOverflow and Underground Forums

Characterizing, Modeling and Exploiting the Mobile Demand Footprint of Large Public Protests

Towards Real-Time Intrusion Detection in P4-Programmable 5G User Plane Functions

IMDEA Networks

Listar por

Envíos recientes

MUDGUARD: Taming Malicious Majorities in Federated Learning using Privacy-Preserving Byzantine-Robust Clustering ﻿

Learning to Learn How to Manage Network Resources with Loss Function Meta-Learning ﻿

Explainable and Transferable Loss Meta-Learning for Zero-Touch Anticipatory Network Management ﻿

Designing the Network Intelligence Stratum for 6G Networks ﻿

Metric meta-learning in deep learning models for intent-based networking ﻿

Sustainable Provision of URLLC Services for V2N: Analysis and Optimal Configuration ﻿

Uncovering Latent Patterns in Service-Level Spatiotemporal Mobile Traffic ﻿

Demystifying Privacy in 5G Stand Alone Networks ﻿

Examining 5G Adoption: Effects on Network Traffic and Mobile Service Usage ﻿

Twinning Commercial Network Traces on Experimental Open RAN Platforms ﻿

A Stacking Ensemble Machine Learning Strategy for COVID-19 Seroprevalence Estimations in the USA Based on Genetic Programming ﻿

'Hey mum, I dropped my phone down the toilet': Investigating Hi Mum and Dad SMS Scams in the United Kingdom ﻿

User-Plane Algorithms for Stateless and Stateful Inference in Programmable Networks ﻿

Characterizing Large-Scale Mobile Traffic Measurements for Urban, Social and Networks Sciences ﻿

I love pineapple on pizza != I hate pineapple on pizza: Stance-Aware Sentence Transformers for Opinion Mining ﻿

A semi-supervised learning algorithm for multi-label classification and multi-assignment clustering problems based on a Multivariate Data Analysis ﻿

COVID-19 seroprevalence estimation and forecasting in the USA from ensemble machine learning models using a stacking strategy ﻿

A Study of Malicious Source Code Reuse Among GitHub, StackOverflow and Underground Forums ﻿

Characterizing, Modeling and Exploiting the Mobile Demand Footprint of Large Public Protests ﻿

Towards Real-Time Intrusion Detection in P4-Programmable 5G User Plane Functions ﻿

MUDGUARD: Taming Malicious Majorities in Federated Learning using Privacy-Preserving Byzantine-Robust Clustering

Learning to Learn How to Manage Network Resources with Loss Function Meta-Learning

Explainable and Transferable Loss Meta-Learning for Zero-Touch Anticipatory Network Management

Designing the Network Intelligence Stratum for 6G Networks

Metric meta-learning in deep learning models for intent-based networking

Sustainable Provision of URLLC Services for V2N: Analysis and Optimal Configuration

Uncovering Latent Patterns in Service-Level Spatiotemporal Mobile Traffic

Demystifying Privacy in 5G Stand Alone Networks

Examining 5G Adoption: Effects on Network Traffic and Mobile Service Usage

Twinning Commercial Network Traces on Experimental Open RAN Platforms

A Stacking Ensemble Machine Learning Strategy for COVID-19 Seroprevalence Estimations in the USA Based on Genetic Programming

'Hey mum, I dropped my phone down the toilet': Investigating Hi Mum and Dad SMS Scams in the United Kingdom

User-Plane Algorithms for Stateless and Stateful Inference in Programmable Networks

Characterizing Large-Scale Mobile Traffic Measurements for Urban, Social and Networks Sciences

I love pineapple on pizza != I hate pineapple on pizza: Stance-Aware Sentence Transformers for Opinion Mining

A semi-supervised learning algorithm for multi-label classification and multi-assignment clustering problems based on a Multivariate Data Analysis

COVID-19 seroprevalence estimation and forecasting in the USA from ensemble machine learning models using a stacking strategy

A Study of Malicious Source Code Reuse Among GitHub, StackOverflow and Underground Forums

Characterizing, Modeling and Exploiting the Mobile Demand Footprint of Large Public Protests

Towards Real-Time Intrusion Detection in P4-Programmable 5G User Plane Functions