Now showing items 1-3 of 3

    • A Blockchained Secure and Integrity-Preserved Architecture for Military Logistics Operations 

      Demertzis K., Kikiras P., Iliadis L. (2022)
      The employment of 5G Internet of Things (5G-IoT), smart automation, and AI analytics can provide improved military logistics, by enhancing inventory control, reordering, accuracy, flexibility mobility, and real-time ...
    • 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 ...
    • 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 ...