Federated Learning With Dynamic Staleness Correction for Privacy Protection in Vehicular Networks

Computer Science

• Vehicular Network 100%
• Privacy Protection 100%
• Federated Learning 100%
• Artificial Intelligence 66%
• Security and Privacy 66%
• Intelligent Transportation System 66%
• Good Performance 33%
• Weighted Average 33%
• Training Data 33%
• Learning Scheme 33%
• Model Accuracy 33%
• Multi-Access Edge Computing 33%
• Big Data 33%
• Communication Cost 33%
• Edge Intelligence 33%
• Learning Performance 33%
• Internet of Vehicles 33%
• Information Security 33%
• Communication Model 33%