Now showing items 1-2 of 2

    • The role of compute nodes in privacy-aware decentralized AI 

      Tirana J., Pappas C., Chatzopoulos D., Lalis S., Vavalis M. (2022)
      Mobile devices generate and store voluminous data valuable for training machine learning (ML) models. Decentralized ML model training approaches eliminate the need for sharing such privacy-sensitive data with centralized ...
    • A Survey on Mobile User Perceptions of Sensitive Data and Authentication Methods 

      Tsoukas V., Gkogkidis A., Kakarountas A. (2020)
      The rapid evolution of mobile phone devices resulted in the conversion of a simple communication device to a complicated small portable computer offering a plethora of features and services. Sensitive data are now stored ...