Listar GI-GAC - Artigos por autor "Criado, Marcos F."

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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 ...