Efficient Data Labeling and Optimal Device Scheduling in HWNs Using Clustered Federated Semi-Supervised Learning

Documenti analoghi

• Empowering HWNs with Efficient Data Labeling: A Clustered Federated Semi-Supervised Learning Approach
  di: Hamood, Moqbel, et al.
  Pubblicazione: (2024)
• Optimized Federated Multitask Learning in Mobile Edge Networks: A Hybrid Client Selection and Model Aggregation Approach
  di: Hamood, Moqbel, et al.
  Pubblicazione: (2024)
• Communication-Efficient Device Scheduling for Federated Learning Using Lyapunov Optimization
  di: Perazzone, Jake B., et al.
  Pubblicazione: (2025)
• Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks
  di: Zhai, Wenbin, et al.
  Pubblicazione: (2023)
• Learning to Schedule: A Supervised Learning Framework for Network-Aware Scheduling of Data-Intensive Workloads
  di: Timilsina, Sankalpa, et al.
  Pubblicazione: (2025)