CBA - Sistemes de Comunicacions i Arquitectures de Banda Ampla: Enviaments recents
Ara es mostren els items 13-24 de 477
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IGNNITION: A framework for fast prototyping of Graph Neural Networks
(2021)
Text en actes de congrés
Accés obertRecent years have seen the vast potential of Graph Neural Networks (GNN) in many fields where data is structured as graphs (e.g., chemistry, logistics). However, implementing a GNN prototype is still a cumbersome task that ... -
NetXplain: Real-time explainability of graph neural networks applied to computer networks
(2021)
Text en actes de congrés
Accés obertRecent advancements in Deep Learning (DL) have revolutionized the way we can efficiently tackle complex optimization problems. However, existing DL-based solutions are often considered as black boxes due to their high inner ... -
Security optimization of IoT platforms based on named data networking
(2021)
Article
Accés restringit per política de l'editorialWhen it comes to developing a smart system involving sensors and actuators, there are two main problems to be addressed: what platform to be used as infrastructure and how to develop the security layer? In this paper, Orion ... -
Computing graph neural networks: A survey from algorithms to accelerators
(Association for Computing Machinery (ACM), 2022-12-01)
Article
Accés obertGraph Neural Networks (GNNs) have exploded onto the machine learning scene in recent years owing to their capability to model and learn from graph-structured data. Such an ability has strong implications in a wide variety ... -
Is machine learning ready for traffic engineering optimization?
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Text en actes de congrés
Accés obertTraffic Engineering (TE) is a basic building block of the Internet. In this paper, we analyze whether modern Machine Learning (ML) methods are ready to be used for TE optimization. We address this open question through a ... -
IGNNITION: fast prototyping of graph neural networks for communication networks
(Association for Computing Machinery (ACM), 2021)
Comunicació de congrés
Accés obertGraph Neural Networks (GNN) have recently exploded in the Machine Learning area as a novel technique for modeling graph-structured data. This makes them especially suitable for applications in the networking field, as ... -
IGNNITION: Bridging the gap between graph neural networks and networking systems
(2021-11)
Article
Accés obertRecent years have seen the vast potential of graph neural networks (GNN) in many fields where data is structured as graphs (e.g., chemistry, recommender systems). In particular, GNNs are becoming increasingly popular in ... -
Decentralised Internet infrastructure: Securing inter-domain routing (DEMO)
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Comunicació de congrés
Accés obertThe Border Gateway Protocol (BGP) is the inter-domain routing protocol that glues the Internet. BGP does not incorporate security and instead, it relies on careful configuration and manual filtering to offer some protection. ... -
NetXplain: Real-time explainability of graph neural networks applied to networking
(2021-08-05)
Article
Accés obertRecent advancements in Deep Learning (DL) have revolutionized the way we can efficiently tackle complex optimization problems. However, existing DL-based solutions are often considered as black boxes with high inner ... -
The graph neural networking challenge: a worldwide competition for education in AI/ML for networks
(2021-07-01)
Article
Accés obertDuring the last decade, Machine Learning (ML) has increasingly become a hot topic in the field of Computer Networks and is expected to be gradually adopted for a plethora of control, monitoring and management tasks in ... -
Modelling short-range quantum teleportation for scalable multi-core quantum computing architectures
(Association for Computing Machinery (ACM), 2021)
Text en actes de congrés
Accés obertMulti-core quantum computing has been identified as a solution to the scalability problem of quantum computing. However, interconnecting quantum chips is not trivial, as quantum communications have their share of quantum ... -
Nanorouter awareness in flow-guided nanocommunication networks
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Text en actes de congrés
Accés obertFlow-guided electromagnetic nanonetworks will enable innovative medical applications for monitoring, information gathering, and data transmission inside the human body. These nanonetworks will have to operate under extreme ...
