Online Model Updating with Analog Aggregation in Wireless Edge Learning

Keyphrases

• Online Model Updating 100%
• Analog Aggregation 100%
• Wireless Edge Learning 100%
• Global Model 57%
• Local Model 42%
• Edge Server 42%
• Training Model 28%
• Mobile Devices 28%
• Real Image 14%
• Communication Environment 14%
• Learning Algorithm 14%
• Performance Metrics 14%
• Low Computational Complexity 14%
• Power-aware 14%
• Result-oriented 14%
• Local Data 14%
• Image Classification 14%
• Classification Datasets 14%
• Performance Gain 14%
• Performance Bounds 14%
• Computational Performance 14%
• Federated Learning 14%
• Network Context 14%
• Communication Performance 14%
• Wireless Edge Networks 14%
• Adaptive Update 14%
• Power Limit 14%
• Mutual Impact 14%
• Wireless Fading Channels 14%
• Best Alternative 14%
• Channel-aware 14%
• Transmit Power Constraint 14%
• Training Loss 14%
• Over-the-air Computation 14%
• Long Term Evolution Networks 14%

Computer Science

• Edge Server 100%
• Mobile Device 66%
• Computational Complexity 33%
• Efficient Algorithm 33%
• Learning Algorithm 33%
• Communication Environment 33%
• Power Constraint 33%
• Performance Metric 33%
• Image Classification 33%
• Performance Gain 33%
• Performance Bound 33%
• Fading Channel 33%
• long-term evolution 33%
• Over-The-Air Computation 33%
• Federated machine learning 33%