Wireless network optimization for federated learning with model compression in hybrid vlc/rf systems^†

Mathematics

• Bandwidth Allocation 47%
• Communication 12%
• Communication Cost 10%
• Compression 69%
• Learning 61%
• Learning Algorithm 16%
• Machine Learning 29%
• Minimise 5%
• Model 22%
• Network Optimization 100%
• Network Performance 11%
• Numerical Methods 4%
• Object Recognition 10%
• Optimise 7%
• Optimization 5%
• Optimization Problem 9%
• Parameter Learning 22%
• Resource Allocation 8%
• Resources 12%
• Simulation 4%
• Training 14%
• User Model 11%
• Wireless Networks 92%

Physics & Astronomy

• bandwidth 23%
• communication 14%
• compressing 8%
• costs 6%
• education 16%
• learning 73%
• machine learning 43%
• optical communication 7%
• optimization 44%
• performance 3%
• radio frequencies 21%
• resource allocation 14%
• resources 16%
• simulation 3%
• stations 8%
• supplements 10%

Engineering & Materials Science

• Base stations 9%
• Communication 11%
• Costs 4%
• Frequency allocation 52%
• Learning algorithms 18%
• Machine learning 33%
• Network performance 10%
• Numerical methods 10%
• Object recognition 11%
• Resource allocation 9%
• Telecommunication links 20%
• Visible light communication 14%
• Wireless networks 53%