Resilient AI Networking Lab - IMDEA Networks : IMDEA Networks

Publications

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AICHRONOLENS: Advancing Explainability for Time Series AI Forecasting in Mobile Networks
Claudio Fiandrino, Eloy Perez Gomez, Pablo Férnandez Pérez, Hossein Mohammadalizadeh, Marco Fiore, Joerg Widmer
IEEE International Conference on Computer Communications. Vancouver, Canada. Mayo 2024
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Roaming across the European Union in the 5G Era: Performance, Challenges, and Opportunities
Rostand A. K. Fezeu, Claudio Fiandrino, Eman Ramadan, Jason Carpenter, Daqing Chen, Yiling Tan, Feng Qian, Joerg Widmer, Zhi-Li Zhang
IEEE International Conference on Computer Communications. Vancouver, Canada. Mayo 2024
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EXPLORA: AI/ML EXPLainability for the Open RAN
Claudio Fiandrino, Leonardo Bonati, Salvatore D'oro, Michele Polese, Tommaso Melodia, Joerg Widmer
ACM Networking. Volumen 1 , ACM. Diciembre 2023
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waveSLAM: Empowering accurate indoor mapping using off-the-shelf millimeter-wave self-sensing
Pablo Picazo, Milan Groshev, Alejandro Blanco, Claudio Fiandrino, Antonio De La Oliva, Joerg Widmer
IEEE Vehicular Technology Conference. Hong Kong, China. Octubre 2023
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Characterizing and Modeling Mobile Networks User Traffic at Millisecond Level
Pablo Férnandez Pérez, Claudio Fiandrino, Joerg Widmer
ACM Workshop on Wireless Network Testbeds, Experimental evaluation & Characterization (WiNTECH), co-located with ACM MobiCom. Madrid, Spain. Octubre 2023
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A Study on 5G Performance and Fast Conditional Handover for Public Transit Systems
Claudio Fiandrino, David Juarez Martinez-Villanueva, Joerg Widmer
Computer Communications. Elsevier. Septiembre 2023
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The Case for Hierarchical Deep Learning Inference at the Network Edge
Ghina Al Atat, Andrea Fresa, Adarsh Prasad Behera, Vishnu Narayanan Moothedath, James Gross, Jaya Prakash Champati
NetAISys '23: Proceedings of the 1st International Workshop on Networked AI Systems. Helsinki, Finland. Junio 2023
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Spotting Deep Neural Network Vulnerabilities in Mobile Traffic Forecasting with an Explainable AI Lens
Serly Moghadas, Claudio Fiandrino, Alan Collet, Giulia Attanasio, Marco Fiore, Joerg Widmer
IEEE International Conference on Computer Communications. New York, United States. Mayo 2023
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Offloading Algorithms for Maximizing Inference Accuracy on Edge Device in an Edge Intelligence System
Andrea Fresa, Jaya Prakash Champati
IEEE Transactions on Parallel and Distributed Systems. 10.1109/TPDS.2023.3267458. Volumen 34 , IEEE. ISSN: 1045-9219. Abril 2023
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Handling Data Handoff of AI-based Applications in Edge Computing Systems
Domenico Scotece, Claudio Fiandrino, Luca Foschini
IEEE Transactions on Network and Service Management. 10.1109/TNSM.2023.3267942. ISSN: 1932-4537. Abril 2023

BRAIN

IA explicable y robusta para su integración en sistemas de red de próxima generación

Financiado por: Ministerio de Ciencia e Innovación

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IMDEA Networks

IMDEA Networks

ECOMOME: avanzando en la eficiencia energética de las redes móviles para un futuro más sostenible

Research Professor, Research Associate Professor, and Research Assistant Professor

ECOMOME: avanzando en la eficiencia energética de las redes móviles para un futuro más sostenible

Publications

AICHRONOLENS: Advancing Explainability for Time Series AI Forecasting in Mobile Networks

Claudio Fiandrino, Eloy Perez Gomez, Pablo Férnandez Pérez, Hossein Mohammadalizadeh, Marco Fiore, Joerg Widmer

Roaming across the European Union in the 5G Era: Performance, Challenges, and Opportunities

Rostand A. K. Fezeu, Claudio Fiandrino, Eman Ramadan, Jason Carpenter, Daqing Chen, Yiling Tan, Feng Qian, Joerg Widmer, Zhi-Li Zhang

EXPLORA: AI/ML EXPLainability for the Open RAN

Claudio Fiandrino, Leonardo Bonati, Salvatore D'oro, Michele Polese, Tommaso Melodia, Joerg Widmer

waveSLAM: Empowering accurate indoor mapping using off-the-shelf millimeter-wave self-sensing

Pablo Picazo, Milan Groshev, Alejandro Blanco, Claudio Fiandrino, Antonio De La Oliva, Joerg Widmer

Characterizing and Modeling Mobile Networks User Traffic at Millisecond Level

Pablo Férnandez Pérez, Claudio Fiandrino, Joerg Widmer

A Study on 5G Performance and Fast Conditional Handover for Public Transit Systems

Claudio Fiandrino, David Juarez Martinez-Villanueva, Joerg Widmer

The Case for Hierarchical Deep Learning Inference at the Network Edge

Ghina Al Atat, Andrea Fresa, Adarsh Prasad Behera, Vishnu Narayanan Moothedath, James Gross, Jaya Prakash Champati

Spotting Deep Neural Network Vulnerabilities in Mobile Traffic Forecasting with an Explainable AI Lens

Serly Moghadas, Claudio Fiandrino, Alan Collet, Giulia Attanasio, Marco Fiore, Joerg Widmer

Offloading Algorithms for Maximizing Inference Accuracy on Edge Device in an Edge Intelligence System

Andrea Fresa, Jaya Prakash Champati

Handling Data Handoff of AI-based Applications in Edge Computing Systems

Domenico Scotece, Claudio Fiandrino, Luca Foschini

BRAIN

IA explicable y robusta para su integración en sistemas de red de próxima generación