UAV-Assisted Online Machine Learning Over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach

Keyphrases

• Multi-tiered Networks 100%
• On-chip Learning 100%
• Unmanned Aerial Vehicle Swarm 100%
• Personalized Federated Learning 100%
• Unmanned Aerial Vehicle 100%
• Federated Learning Approach 100%
• Time-varying Data 66%
• Model Training 66%
• Energy Consumption 33%
• Network Applications 33%
• System Design 33%
• Level System 33%
• Resource-constrained 33%
• Computational Resources 33%
• Network Resources 33%
• Resource Pooling 33%
• Data Distribution 33%
• Machine Learning Models 33%
• Distributed Machine Learning 33%
• Training Machine 33%
• Personalized Model 33%
• Sequential Decision Problems 33%
• Core Network 33%
• Performance Network 33%
• Macro Level 33%
• Machine Learning Framework 33%
• Deep Reinforcement Learning (deep RL) 33%
• Distributed Resources 33%
• Machine Learning Performance 33%
• Modeling Concepts 33%
• Geo-distributed 33%
• Network Hierarchy 33%
• Concept Drift 33%
• Resource Saving 33%
• Constrained Clustering 33%
• Performance Guarantee 33%
• Energy Machines 33%
• Data Heterogeneity 33%
• Cooperative Unmanned Aerial Vehicles 33%
• Learning Duration 33%
• Machine Learning Model Performance 33%
• Vehicle Level 33%

Computer Science

• Learning Approach 100%
• Machine Learning 100%
• Learning System 100%
• Unmanned Aerial Vehicle 100%
• Personalized Federated Learning 100%
• Machine Learning Model 25%
• Energy Consumption 12%
• Network Resource 12%
• Performance Guarantee 12%
• system level design 12%
• Learning Framework 12%
• Computational Resource 12%
• Resource Pooling 12%
• Distributed Machine Learning 12%
• Performance Network 12%
• Data Distribution 12%
• Distributed Resource 12%
• Sequential Decision Making 12%
• Learning Performance 12%
• Deep Reinforcement Learning 12%
• Data Heterogeneity 12%
• Concept Drift 12%