Adaptive vertical federated learning via feature map transferring in mobile edge computing

Keyphrases

• Centralized Model 25%
• Classifier Model 25%
• CNN Model 50%
• Concatenated 25%
• Edge System 25%
• Feature Extractor 25%
• Feature Map 100%
• Feature Representation 75%
• Federated Learning 100%
• Ground-truth Labels 25%
• Hidden Features 25%
• Image Classification 25%
• Incomplete Image 25%
• Learning Algorithm 50%
• Learning Settings 25%
• Local Features 25%
• Machine Learning Models 25%
• Mobile Edge Computing 100%
• Model Transfer 25%
• Multiple Clients 25%
• Privacy-preserving Techniques 25%
• Server-side 25%
• Sharing Model 50%
• Training Data 25%
• Transfer Method 25%
• User-generated Data 25%
• Vertical Federated Learning 100%

Computer Science

• Centralized Model 16%
• Classifier Model 16%
• Convolutional Neural Network 33%
• Extracted Feature 16%
• Feature Map 100%
• Federated Learning 100%
• Image Classification 16%
• Learning Algorithm 33%
• Learning System 16%
• local feature 16%
• Machine Learning 16%
• Massive Amount 16%
• Multi-Access Edge Computing 100%
• Multiple Client 16%
• Privacy Preserving 16%
• Training Data 16%