17 citations · 29 across the 5 of their papers we have counts for
5 papers
HLF-FSL. A Decentralized Federated Split Learning Solution for IoT on Hyperledger Fabric
Carlos Beis Penedo, Rebeca P. Díaz Redondo, Ana Fernández Vilas +2
Collaborative machine learning in sensitive domains demands scalable, privacy preserving solutions for enterprise deployment. Conventional Federated Learning (FL) relies on a centr…
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…