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Compact local certification of graph classes

There are more and more distributed algorithms specially designed to work on specific graph classes, such as interval graphs or...

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Who makes the Internet? A longitudinal analysis of the IETF

Operation of the Internet requires interoperability between networks, systems, and applications, as well as cooperation among a growing number of...

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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,...

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Seminario destacado: The Machine Learning Data Center is a Cancer: What is the Cure?

The vast majority of machine learning (ML) occurs today in a data center. But there is a very real possibility...

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PhD Thesis defense: Algorithms for robust indoor localization and sensing using off-the-shelf devices

Localization has been mainly an optional feature of cellular networks since they have been designed for communication and many location-based...

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Training Event 6 of ENLIGHT’EM open for IMDEA Members: R&I projects for the next stage of career

The team members of ENLIGHT’EM project (cf. https://enlightem.eu/) are hosting a Training Event for early-stage researchers (PhD students) on May...

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12th IMDEA Networks Annual International Workshop

IMDEA Networks Institute annually holds a by-invitation-only thematic workshop in Madrid. The workshop accompanies a meeting of our Scientific Council comprised of...

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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...

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Seminario destacado. The Quantum Internet: Recent Advances and Challenges

Quantum information processing is at the cusp of having significant impact on technology and society in the form of providing...

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Defensa Tesis Doctoral: Machine Learning Algorithms for Provisioning Cloud/Edge Applications

Reinforcement Learning (RL), in which an agent is trained to make the most favourable decisions in the long run, is...

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