End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things

Computer Science

• Internet-Of-Things 100%
• Federated Learning 100%
• Neural Network 80%
• Data Distribution 30%
• Learning Performance 30%
• Machine Learning Technique 20%
• Communication Overhead 20%
• Distributed Machine Learning 20%
• Machine Learning 10%
• Experimental Result 10%
• Learning System 10%
• Power Consumption 10%
• Performance Metric 10%
• Constrained Device 10%
• Model Accuracy 10%
• Collected Data 10%
• Internet of Things Device 10%
• Model Architecture 10%
• Imbalanced Data 10%
• Distributed System 10%
• Multiple Client 10%
• Distributed Application 10%
• Raspberry Pi 10%