Listar por tema 

Listar por tema "Federated Learning"

Mostrando ítems 1-3 de 3

    • Editor's Note 

      Verdú, Elena (UNIR, 26/02/2026)
      The International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI) provides a forum for researchers and professionals to share recent advances in artificial intelligence (AI) and its wide range of ...

    • Performance and Communication Cost of Deep Neural Networks in Federated Learning Environments: An Empirical Study 

      Alotaibi, Basmah K.; Khan, Fakhri Alam; Qawqzeh, Yousef; Jeon, Gwanggil; Camacho, David (UNIR, 01/09/2025)
      Federated learning, a distributive cooperative learning approach, allows clients to train the model locally using their data and share the trained model with a central server. When developing a federated learning environment, ...

    • Robust Federated Learning With Contrastive Learning and Meta-Learning 

      Zhang, Huan; Chen, Yuxian; Li, Kuanching; Li, Yuhui; Zhou, Sisi; Liang, Wei; Poniszewska-Maranda, Aneta (UNIR, 26/03/2026)
      Federated learning is regarded as an effective approach to addressing data privacy issues in the era of artificial intelligence. Still, it faces the challenges of unbalanced data distribution and client vulnerability to ...