Event Category: In-house Presentation

Towards a Human-centric Data Economy

Data is becoming an indispensable production factor for the modern economy, matching or exceeding in importance traditional factors such as...

Seguir leyendo arrow_right_alt

Securing Federated Sensitive Topic Classification against Poisoning Attacks

We present a Federated Learning (FL) based solution for building a distributed classifier capable of detecting URLs containing sensitive content,...

Seguir leyendo arrow_right_alt

Global Mobile Network Aggregators: Taxonomy, Roaming, Performance and Optimization

A new model of global virtual Mobile Network Operator (MNO) –the Mobile Network Aggregator (MNA) – has recently been gaining...

Seguir leyendo arrow_right_alt

A Framework for Spectrum Data Classification using Crowdsensing Platform

The advent of spectrum crowdsensing systems is challenging the way the spectrum is monitored, thanks to the large deployment of...

Seguir leyendo arrow_right_alt

Second-level Digital Divide: A Longitudinal Study of Mobile Traffic Consumption Imbalance in France

We study the interaction between the consumption of digital services via mobile devices and urbanization levels, using measurement data collected...

Seguir leyendo arrow_right_alt

LossLeaP: Learning to Predict for Intent-Based Networking

Intent-Based Networking mandates that high-level human-understandable intents are automatically interpreted and implemented by network management entities. As a key part...

Seguir leyendo arrow_right_alt

FreqyWM: Frequency WaterMarking for the New Data Economy

We present a novel data engineering technique for modulating the appearance frequency of a few tokens within a dataset for...

Seguir leyendo arrow_right_alt

Taking Responsibility for Someone Else's Code: Studying the Privacy Behaviors of Mobile Apps at Scale

Modern software development has embraced the concept of «code reuse,» which is the practice of relying on third-party code to...

Seguir leyendo arrow_right_alt

Machine Learning in Radio Propagation Modeling

Efficient and reliable indoor radio propagation modeling tools are inextricably intertwined with the design and operation of next-generation wireless networks....

Seguir leyendo arrow_right_alt

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

A vast body of works on mobile networking employs simplified Voronoi cell representations of cellular base station coverage as a...

Seguir leyendo arrow_right_alt

Comentarios recientes

    Archivos

    Categorías