Archives: Events

Prediction of User Privacy Preferences in Mobile Devices via Federated Learning

The pervasiveness of always-connected mobile devices fostered a multitude of applications that provide contextualized services to users. Many of these...

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NetMob 2023 Data Challenge

We are happy to announce the NetMob 2023 Data Challenge, a competition aiming at deriving and exploiting insights from a...

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Innovating in computer networks one data-plane program at a time

It has been more than eight years since the original P4 paper was published. Since then, programmable data planes have...

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SIGNiPHY: Reconciling Random Access with Directional Reception for Efficient mmWave WLANs

Millimeter-Wave (mmWave) WiFi can provide very low latency and multi-Gbps throughput, but real-world deployments usually do not achieve the theoretically...

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Statistical Age-of-Information Bounds for Parallel Systems: When Do Independent Channels Make a Difference?

The Age of Information (AoI) metric measures the freshness of status updates for monitoring and feedback in networked systems. It...

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The Case for Hierarchical Deep Learning Inference at the Network Edge

Resource-constrained Edge Devices (EDs), e.g., IoT sensors and microcontroller units, are expected to make intelligent decisions using Deep Learning (DL)...

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Telecom cloud-native development: an industry point of view

Telcos are increasingly moving from physical/virtual to cloud-native network functions in the context of 5G adoption. In this talk we...

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DOTE: Rethinking (Predictive) Traffic Engineering

Flow optimization in the presence of uncertainty about future traffic demands is a fact of life in many operational environments....

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Data EConomy (DEC) Workshop 2023

Data-driven decision making powered by Machine Learning (ML) algorithms is changing how society and the economy work and has a...

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Fast Detection of Cyberattacks on the Metaverse through User-plane Inference

The metaverse is envisioned as a digital world where people can experience an immersive three-dimensional Internet, thanks to the profound...

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