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FedQV: Leveraging Quadratic Voting in Federated Learning

Federated Learning (FL) permits different parties to collaboratively train a global model without disclosing their respective local labels. A crucial...

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

The rising popularity of Vehicle-to-Network (V2N) applications is driven by the Ultra-Reliable Low-Latency Communications (URLLC) service offered by 5G. The...

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Towards Network-Assisted Data Collection Systems

The slowdown of Moore’s Law, the end of Dennard’s scaling, and the rapid adoption of high-bandwidth links is creating new...

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Defensa Tesis Doctoral: Characterizing Large-Scale Mobile Traffic Measurements for Urban, Social and Networks Sciences

Over the past few decades, few technological advances have transformed daily life as significantly as mobile phones and their applications....

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Defensa Tesis Doctoral: User-Plane Algorithms for Stateless and Stateful Inference in Programmable Networks

The thesis presents a comprehensive exploration of advanced network management strategies. It identifies and addresses critical challenges in aligning the...

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Institutos IMDEA. La ciencia que ayuda al planeta (I)

La Noche Europea de los Investigadores e Investigadoras de Madrid 2024 coordinada en por la Fundación para el Conocimiento madrimasd, es una acción...

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Defensa Tesis Doctoral: User-Plane Algorithms for Stateless and Stateful Inference in Programmable Networks

This thesis proposes efficient solutions for embedding Machine Learning (ML) models into commercial network user-plane equipment, addressing limitations in previous...

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Reversing the Virtual Maze: An Overview of the Technical and Methodological Challenges for Metaverse App Analysis

The Metaverse is a virtual world that is becoming increasingly popular. Recent technological advances, such as head-mounted displays and novel...

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Location Data: Friend or Foe? An Investigation into the Reliability of Location Signals in Mobile Advertising

This paper investigates the accuracy and integrity of location data within the realm of Location-Based Mobile Marketing (LBMM). By analyzing...

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Metric meta-learning optimization towards Intent-Based Networking implementation

Zero-touch network management is essential for beyond 5G and 6G systems, requiring full automation through a closed loop of data...

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