Listar GI-GAC - Artigos por autor "Casado, Fernando E."

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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 ...

    • Non-IID data and Continual Learning processes in Federated Learning: A long road ahead 

      Criado, Marcos F.; Casado, Fernando E.; Iglesias Rodríguez, Roberto; Regueiro, Carlos V.; Barro, Senén (Elsevier, 2022)
      [Abstract] Federated Learning is a novel framework that allows multiple devices or institutions to train a machine learning model collaboratively while preserving their data private. This decentralized approach is prone ...

    • Walking Recognition in Mobile Devices 

      Casado, Fernando E.; Rodríguez García, Germán; Iglesias Rodríguez, Roberto; Regueiro, Carlos V.; Barro, Senén; Canedo-Rodriguez, Adrián (MDPI AG, 2020-02-21)
      [Abstract] Presently, smartphones are used more and more for purposes that have nothing to do with phone calls or simple data transfers. One example is the recognition of human activity, which is relevant information for ...