REDUS: Adaptive Resampling for Efficient Deep Learning in Centralized and Federated IoT Networks

Documenti analoghi

• A Robust Federated Learning Approach for Combating Attacks Against IoT Systems Under non-IID Challenges
  di: Gad, Eyad, et al.
  Pubblicazione: (2025)
• Smart Handover with Predicted User Behavior using Convolutional Neural Networks for WiGig Systems
  di: Rodrigues, Tiago Koketsu, et al.
  Pubblicazione: (2023)
• Mist-Assisted Federated Learning for Intrusion Detection in Heterogeneous IoT Networks
  di: Izadi, Saadat, et al.
  Pubblicazione: (2025)
• MILP-driven Network Planning Framework for Energy Efficiency and Coverage Maximization in IoT Mesh Networks
  di: Sohail, Ishmal, et al.
  Pubblicazione: (2025)
• Lightweight Cluster-Based Federated Learning for Intrusion Detection in Heterogeneous IoT Networks
  di: Izadi, Saadat, et al.
  Pubblicazione: (2026)