Listar Grupos de investigación por autor "Iglesias, Roberto"

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    • Concept Drift Detection and Adaptation for Federated and Continual Learning 

      Casado, Fernando E.; Lema, Dylan; Criado, Marcos F.; Iglesias, Roberto; Regueiro, Carlos V.; Barro, Senén (Springer, 2021)
      [Abstract] Smart devices, such as smartphones, wearables, robots, and others, can collect vast amounts of data from their environment. This data is suitable for training machine learning models, which can significantly ...

    • Ensemble and continual federated learning for classification tasks 

      Casado, Fernando E.; Lema, Dylan; Iglesias, Roberto; Regueiro, Carlos V.; Barro, Senén (Springer, 2023-09)
      [Abstract]: Federated learning is the state-of-the-art paradigm for training a learning model collaboratively across multiple distributed devices while ensuring data privacy. Under this framework, different algorithms have ...

    • Mobile Robot Positioning with 433-MHz Wireless Motes with Varying Transmission Powers and a Particle Filter 

      Canedo-Rodríguez, Adrián; Rodríguez, José Manuel; Álvarez-Santos, Víctor; Iglesias, Roberto; Regueiro, Carlos V. (Multidisciplinary Digital Publishing Institute, 2015)
      In wireless positioning systems, the transmitter’s power is usually fixed. In this paper, we explore the use of varying transmission powers to increase the performance of a wireless localization system. To this extent, we ...

    • Self-Organized Multi-Camera Network for a Fast and Easy Deployment of Ubiquitous Robots in Unknown Environments 

      Canedo-Rodríguez, Adrián; Iglesias, Roberto; Regueiro, Carlos V.; Álvarez-Santos, Víctor; Pardo, Xosé Manuel (Multidisciplinary Digital Publishing Institute, 2013)
      To bring cutting edge robotics from research centres to social environments, the robotics community must start providing affordable solutions: the costs must be reduced and the quality and usefulness of the robot services ...