Envíos recientes

Flowrest: Practical Flow-Level Inference in Programmable Switches with Random Forests

Akem, Aristide Tanyi-Jong; Gucciardo, Michele; Fiore, Marco (2023-05)

conference object

Henna: hierarchical machine learning inference in programmable switches

Akem, Aristide Tanyi-Jong; Bütün, Beyza; Gucciardo, Michele; Fiore, Marco (2022-12-09)

conference object

Optimizing network control and resource allocation in large scale ultra dense mm-wave networks

Garcia Marti, Dolores (2022-09-28)

doctoral thesis

Enabling Unmanned Aerial Vehicles for the near future applications

Sanchez-Aguero, Victor (2022-07-05)

doctoral thesis

In-depth Study of RNTI Management in Mobile Networks: Allocation Strategies and Implications on Data Trace Analysis

Attanasio, Giulia; Fiandrino, Claudio; Fiore, Marco; Widmer, Joerg; Ludant, Norbert; Bloessl, Bastian; Kousias, Konstantinos; Alay, Ozgu; Jacquot, Lise; Stanica, Razvan (2022-12-24)

journal article

Beyond Voronoi: Plain Probabilistic Spatial Coverage Inference from Base Station Deployments

Martínez-Durive, Orlando E.; Couturieux, Theo; Ziemlicki, Cezary; Fiore, Marco (2022-06-08)

conference object

VoronoiBoost: Data-driven Probabilistic Spatial Mapping of Mobile Network Metadata

Martínez-Durive, Orlando E.; Couturieux, Theo; Ziemlicki, Cezary; Fiore, Marco (2022-10-25)

conference object

Challenges in inferring privacy properties of smart devices: Towards scalable multi-vantage point testing methods

Girish, Aniketh; Prakash, Vijay; Egelman, Serge; Reardon, Joel; Tapiador, Juan; Yuxing Huang, Danny; Matic, Srdjan; Vallina-Rodriguez, Narseo (2022-12)

conference object

Measuring the Price of Data in Commercial Data Marketplaces

Andres, Santiago; Iordanou, Costas; Laoutaris, Nikolaos (2022-11-30)

conference object

Try Before You Buy: a Practical Data Purchasing Algorithm for Real-World Data Marketplaces

Andres, Santiago; Laoutaris, Nikolaos (2022-11-30)

conference object

FL-Torrent: decentralised AI for the masses

García-Recuero, Álvaro; Laoutaris, Nikolaos (2022-06-08)

conference object

Covid-19 Contact Tracing through Multipath Profile Similarity

Eleftherakis, Stavros; Santaromita, Giuseppe; Rea, Maurizio; Otim, Timothy; Giustiniano, Domenico (2022-12)

conference object

Characterizing Location Management Function Performance in 5G Core Networks

Pinto, Andrea; Santaromita, Giuseppe; Fiandrino, Claudio; Giustiniano, Domenico; Esposito, Flavio (2022-11)

conference object

LOKO: Localization-aware Roll-out Planning for Future Mobile Networks

Albanese, Antonio; Sciancalepore, Vincenzo; Banchs, Albert; Costa-Perez, Xavier (2022-04-19)

journal article

I move U move: V2X-enabled wireless towing

Ayimba, Constantine; Sciancalepore, Vincenzo; Casari, Paolo; Mancuso, Vincenzo (2022-08-17)

conference object

Securing Federated Sensitive Topic Classification against Poisoning Attacks

Chu, Tianyue; García-Recuero, Álvaro; Iordanou, Costas; Smaragdakis, Georgios; Laoutaris, Nikolaos (2023-02-27)

conference object

Online Learning for Industrial IoT: The Online Convex Optimization Perspective

Chatzieleftheriou, Livia Elena; Liu, Chen-Feng; Koutsopoulos, Iordanis; Bennis, Mehdi; Debbah, Merouane (2022-09-05)

conference object

Jointly Learning Optimal Task Offloading and Scheduling Policies for Mobile Edge Computing

Chatzieleftheriou, Livia Elena; Koutsopoulos, Iordanis (2022-09-19)

conference object

Towards Native Explainable and Robust AI in 6G Networks

Attanasio, Giulia; Moghadas Gholian, Serly; Fiandrino, Claudio; Fiore, Marco; Widmer, Joerg (2022-06-08)

conference object

Vector Coded Caching Multiplicatively Increases the Throughput of Realistic Downlink Systems

Zhao, Hui; Bazco-Nogueras, Antonio; Elia, Petros (IEEE, 2022-10)

journal article

IMDEA Networks: Envíos recientes

Flowrest: Practical Flow-Level Inference in Programmable Switches with Random Forests ﻿

Henna: hierarchical machine learning inference in programmable switches ﻿

Optimizing network control and resource allocation in large scale ultra dense mm-wave networks ﻿

Enabling Unmanned Aerial Vehicles for the near future applications ﻿

In-depth Study of RNTI Management in Mobile Networks: Allocation Strategies and Implications on Data Trace Analysis ﻿

Beyond Voronoi: Plain Probabilistic Spatial Coverage Inference from Base Station Deployments ﻿

VoronoiBoost: Data-driven Probabilistic Spatial Mapping of Mobile Network Metadata ﻿

Challenges in inferring privacy properties of smart devices: Towards scalable multi-vantage point testing methods ﻿

Measuring the Price of Data in Commercial Data Marketplaces ﻿

Try Before You Buy: a Practical Data Purchasing Algorithm for Real-World Data Marketplaces ﻿

FL-Torrent: decentralised AI for the masses ﻿

Covid-19 Contact Tracing through Multipath Profile Similarity ﻿

Characterizing Location Management Function Performance in 5G Core Networks ﻿

LOKO: Localization-aware Roll-out Planning for Future Mobile Networks ﻿

I move U move: V2X-enabled wireless towing ﻿

Securing Federated Sensitive Topic Classification against Poisoning Attacks ﻿

Online Learning for Industrial IoT: The Online Convex Optimization Perspective ﻿

Jointly Learning Optimal Task Offloading and Scheduling Policies for Mobile Edge Computing ﻿

Towards Native Explainable and Robust AI in 6G Networks ﻿

Vector Coded Caching Multiplicatively Increases the Throughput of Realistic Downlink Systems ﻿

Flowrest: Practical Flow-Level Inference in Programmable Switches with Random Forests

Henna: hierarchical machine learning inference in programmable switches

Optimizing network control and resource allocation in large scale ultra dense mm-wave networks

Enabling Unmanned Aerial Vehicles for the near future applications

In-depth Study of RNTI Management in Mobile Networks: Allocation Strategies and Implications on Data Trace Analysis

Beyond Voronoi: Plain Probabilistic Spatial Coverage Inference from Base Station Deployments

VoronoiBoost: Data-driven Probabilistic Spatial Mapping of Mobile Network Metadata

Challenges in inferring privacy properties of smart devices: Towards scalable multi-vantage point testing methods

Measuring the Price of Data in Commercial Data Marketplaces

Try Before You Buy: a Practical Data Purchasing Algorithm for Real-World Data Marketplaces

FL-Torrent: decentralised AI for the masses

Covid-19 Contact Tracing through Multipath Profile Similarity

Characterizing Location Management Function Performance in 5G Core Networks

LOKO: Localization-aware Roll-out Planning for Future Mobile Networks

I move U move: V2X-enabled wireless towing

Securing Federated Sensitive Topic Classification against Poisoning Attacks

Online Learning for Industrial IoT: The Online Convex Optimization Perspective

Jointly Learning Optimal Task Offloading and Scheduling Policies for Mobile Edge Computing

Towards Native Explainable and Robust AI in 6G Networks

Vector Coded Caching Multiplicatively Increases the Throughput of Realistic Downlink Systems