Attention-Weighted Federated Deep Reinforcement Learning for Device-to-Device Assisted Heterogeneous Collaborative Edge Caching

Computer Science

• Device-To-Device 100%
• Deep Reinforcement Learning 100%
• Models 66%
• Mobile Network 66%
• Learning Network 66%
• Design 33%
• Communication 33%
• Computing 33%
• Networks 33%
• Generation 33%
• User 33%
• Simulation 33%
• Algorithms 33%
• Convergence 33%
• Optimization Problem 33%
• Server 33%
• Network Environment 33%
• Learning Framework 33%
• Linear Programming Problem 33%
• Markov Decision Process 33%
• Mixed-Integer Linear Programming 33%
• Multimedia Service 33%
• Storage Capacity 33%
• Dynamic Network 33%
• Attention (Machine Learning) 33%
• Federated Learning 33%
• Hit Rate 33%