Efficient Split Learning With Overlapping Areas: Handling Distribution Shift in Multi-Cell Networks

Keyphrases

• Overlapping Area 100%
• Multi-cell Networks 100%
• Distribution Shift 100%
• Intelligent Services 100%
• Split Learning 100%
• Accuracy Improvement 50%
• Heterogeneous Data 50%
• MNIST 50%
• Personalization 50%
• Overlapping Region 50%
• Heterogeneous Communication 50%
• Convergence Behavior 50%
• Cloud Server 50%
• Fast Training 50%
• Learning Framework 50%
• Performance Stability 50%
• State-of-the-art Techniques 50%
• Communication Delay 50%
• Neural Architecture 50%
• Edge Server 50%
• Network Environment 50%
• Fast Inference 50%
• Multi-cell Wireless Networks 50%
• CIFAR-10 50%
• Federated Learning 50%
• Next-generation Wireless 50%
• Backhaul Communications 50%
• Unstable Network 50%
• Resource-constrained Networks 50%
• Multi-level Distribution 50%
• Communications Condition 50%
• Jetson Nano 50%
• Multi-exit 50%
• Accelerated Training 50%

Computer Science

• Testbed 100%
• Heterogeneous Data 100%
• Learning Framework 100%
• Communication Delay 100%
• Convergence Behavior 100%
• Distribution Level 100%
• Network Environment 100%
• Wireless Generation 100%
• Wireless Network 100%
• Federated machine learning 100%
• Overlapping Region 100%