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• DRL-Based Federated Self-Supervised Learning for Task Offloading and Resource Allocation in ISAC-Enabled Vehicle Edge Computing
  2024 · 13 citations
• DRL-Based Resource Allocation for Motion Blur Resistant Federated Self-Supervised Learning in IoV
  2024 · 11 citations
• Optimizing Age of Information in Vehicular Edge Computing with Federated Graph Neural Network Multi-Agent Reinforcement Learning
  2024 · 4 citations
• Design of Two-Level Incentive Mechanisms for Hierarchical Federated Learning
  2023 · 2 citations
• Federated Learning with Unreliable Clients: Performance Analysis and Mechanism Design
  2021 · 1 citations
• Blockchain Assisted Federated Learning over Wireless Channels: Dynamic Resource Allocation and Client Scheduling
  2021 · 1 citations
• Low-latency Federated Learning with DNN Partition in Distributed Industrial IoT Networks
  2022 · 1 citations
• Analysis and Optimization of Wireless Multimodal Federated Learning on Modal Heterogeneity
  2025
• Federated Learning Over Wireless Channels: Dynamic Resource Allocation and Task Scheduling
  2021
• Decentralized Federated Reinforcement Learning for User-Centric Dynamic TFDD Control
  2022
• Analysis and Optimization of Wireless Federated Learning with Data Heterogeneity
  2023
• Energy-Efficient Wireless Federated Learning via Doubly Adaptive Quantization
  2024