DRL-Based Federated Self-Supervised Learning for Task Offloading and Resource Allocation in ISAC-Enabled Vehicle Edge Computing

Documenti analoghi

• Reconfigurable Intelligent Surface Aided Vehicular Edge Computing: Joint Phase-shift Optimization and Multi-User Power Allocation
  di: Qi, Kangwei, et al.
  Pubblicazione: (2024)
• Optimizing Age of Information in Vehicular Edge Computing with Federated Graph Neural Network Multi-Agent Reinforcement Learning
  di: Wang, Wenhua, et al.
  Pubblicazione: (2024)
• Deep-Reinforcement-Learning-Based AoI-Aware Resource Allocation for RIS-Aided IoV Networks
  di: Qi, Kangwei, et al.
  Pubblicazione: (2024)
• Decentralized Network Topology Design for Task Offloading in Mobile Edge Computing
  di: Ma, Ke, et al.
  Pubblicazione: (2024)
• A Model Consistency-Based Countermeasure to GAN-Based Data Poisoning Attack in Federated Learning
  di: Sun, Wei, et al.
  Pubblicazione: (2024)