Now showing items 1-2 of 2

    • An explainable semi-personalized federated learning model 

      Demertzis K., Iliadis L., Kikiras P., Pimenidis E. (2022)
      Training a model using batch learning requires uniform data storage in a repository. This approach is intrusive, as users have to expose their privacy and exchange sensitive data by sending them to central entities to be ...
    • A Lipschitz - Shapley Explainable Defense Methodology Against Adversarial Attacks 

      Demertzis K., Iliadis L., Kikiras P. (2021)
      Every learning algorithm, has a specific bias. This may be due to the choice of its hyperparameters, to the characteristics of its classification methodology, or even to the representation approach of the considered ...