17 citations · 34 across the 7 of their papers we have counts for
9 papers
Quantum-Seeded Distributed Post-Quantum Group Signatures for 5G V2X Communications
P. Blanco-Casal, P. Rejo-Iglesias, D. Cajaraville-Aboy +4
Vehicle-to-Everything (V2X) communications rely on elliptic-curve signatures that a quantum adversary breaks and on pseudonym certificates whose anonymity rests on rotation rate, n…
SN 2023iop: An Extreme 1987A-like Supernova and the Death of Very Massive Stars
Steve Schulze, Avinash Singh, Nikhil Sarin +69
Supernova (SN) 1987A showed that some hydrogen-rich core-collapse supernovae (SNe) rise slowly to peak, defining a distinct subclass. Wide-field surveys have uncovered more extreme…
Coded Task Offloading for Fluid Computing: A Privacy-Aware Approach under D2D Networks
Diego Cajaraville-Aboy, Manuel Fernández-Veiga, Ana Fernández-Vilas +1
Fluid Computing aims to support distributed applications execution across heterogeneous cloud, edge, and device resources, motivating task execution mechanisms that adapt to dynami…
Privacy-Preserving and Verifiable Approximate Distributed Coded Computing
Xavier Martínez-Luaña, Alba Gude-Santos, Manuel Fernández-Veiga +1
Distributed machine learning enables collaborative model training without centralizing data, but it also exposes learning processes to privacy leakage and malicious manipulation. E…
Byzantine-Robust Aggregation for Securing Decentralized Federated Learning
Diego Cajaraville-Aboy, Ana Fernández-Vilas, Rebeca P. Díaz-Redondo +1
Federated Learning (FL) emerges as a distributed machine learning approach that addresses privacy concerns by training AI models locally on devices. Decentralized Federated Learnin…
Generation of BIM data based on the automatic detection, identification and localization of lamps in buildings
Francisco Troncoso-Pastoriza, Pablo Eguía-Oller, Rebeca P. Díaz-Redondo +1
In this paper we introduce a method that supports the detection, identification and localization of lamps in a building, with the main goal of automatically feeding its energy mode…
Orientation-Constrained System for Lamp Detection in Buildings Based on Computer Vision
Francisco Troncoso-Pastoriza, Pablo Eguía-Oller, Rebeca P. Díaz-Redondo +2
Computer vision is used in this work to detect lighting elements in buildings with the goal of improving the accuracy of previous methods to provide a precise inventory of the loca…
Use of BIM Data as Input and Output for Improved Detection of Lighting Elements in Buildings
Francisco Troncoso-Pastoriza, Pablo Eguía-Oller, Rebeca P. Díaz-Redondo +1
This paper introduces a complete method for the automatic detection, identification and localization of lighting elements in buildings, leveraging the available building informatio…
A Blockchain Solution for Collaborative Machine Learning over IoT
Carlos Beis-Penedo, Francisco Troncoso-Pastoriza, Rebeca P. Díaz-Redondo +3
The rapid growth of Internet of Things (IoT) devices and applications has led to an increased demand for advanced analytics and machine learning techniques capable of handling the…