A decentralized federated learning-based spatial–temporal model for freight traffic speed forecasting

Keyphrases

• Decentralized Federated Learning 100%
• Freight Traffic 100%
• Traffic Speed Forecasting 100%
• Traffic Speed 40%
• Traffic Management Strategies 40%
• Centralized Data 20%
• Graph Convolutional Network 20%
• Center Server 20%
• Personalized Learning 20%
• Multiple Participants 20%
• Experiment-based 20%
• Cloud Center 20%
• Nanjing City 20%
• Transformer Network 20%
• Neighboring Cities 20%
• Convergence Property 20%
• Personalization Systems 20%

Computer Science

• Decentralized Federated Learning 100%
• Traffic Management 66%
• Existing Traffic 33%
• Graph Convolutional Network 33%
• Convergence Property 33%

Psychology

• Learning Model 100%