Adaptive Idle Model Fusion in Hierarchical Federated Learning for Unbalanced Edge Regions

Keyphrases

• Edge Region 100%
• Model Fusion 100%
• Global Model 60%
• Federated Learning Framework 60%
• Data Distribution 40%
• Federated Learning 40%
• Non-IID 40%
• Potential Contribution 20%
• Model Accuracy 20%
• Exponential Growth 20%
• Local Features 20%
• Imbalanced Data 20%
• Model Features 20%
• Training Performance 20%
• Movement Distance 20%
• Learning Protocols 20%
• Client Mobility 20%
• Local Data 20%
• Paper Design 20%
• Earth Movement 20%
• Bias in Data 20%
• Publicly Available Datasets 20%

Computer Science

• Federated machine learning 100%
• Learning Framework 50%
• Data Distribution 33%
• local feature 16%
• Exponential Growth 16%
• Model Accuracy 16%
• Internet-Of-Things 16%
• Introduce Bias 16%