Semi-Decentralized Federated Edge Learning with Data and Device Heterogeneity

Keyphrases

• Learning from Data 100%
• Federated Edge Learning 100%
• Device Heterogeneity 100%
• Data Heterogeneity 100%
• Edge Server 37%
• Training Algorithm 25%
• Client Node 25%
• Convergence Rate 12%
• Privacy-preserving 12%
• Training Data 12%
• Design Guidelines 12%
• Learning Performance 12%
• Learning Framework 12%
• Local Model 12%
• Low Latency 12%
• Inter-cluster 12%
• Intra-cluster 12%
• Federated Learning 12%
• Deep Learning Model 12%
• Model Update 12%
• Edge Devices 12%
• Multiple Edges 12%
• 6G Networks 12%
• Aggregation Mechanism 12%
• Staleness 12%
• Model Aggregation 12%
• Asynchronous Training 12%
• Cluster Model 12%
• Low-latency Communications 12%
• Straggler Effect 12%
• Model Sharing 12%
• Efficient Model 12%
• Non-independent and Identically Distributed Data 12%

Computer Science

• Edge Server 100%
• training algorithm 66%
• Deep Learning Model 33%
• Federated Learning 33%
• Privacy Preserving 33%
• Communication Latency 33%
• Learning Performance 33%
• Learning Framework 33%
• Speed Convergence 33%
• Training Data 33%
• Design Guideline 33%