FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks

Keyphrases

• Training Loss 100%
• Multilayer Neural Network 100%
• FedAvg 100%
• Zero-training 100%
• Neural Network 50%
• Federated Learning 50%
• Data Heterogeneity 50%
• Resilience 25%
• Distributed Learning 25%
• Advanced Algorithm 25%
• Vanilla 25%
• Learning Problems 25%
• Stable Performance 25%
• Joint Model 25%
• Heterogeneous Distribution 25%
• Training Samples 25%
• Data Distribution 25%
• Learning Paradigm 25%
• Client Data 25%
• Multiple Clients 25%
• Local SGD 25%
• SPGD Algorithm 25%
• Training Problems 25%

Computer Science

• Layer Neural Network 100%
• Data Heterogeneity 66%
• Federated Learning 66%
• Neural Network 66%
• Distributed Learning 33%
• Learning Problem 33%
• Research Effort 33%
• Individual Client 33%
• Multiple Client 33%
• Training Sample 33%
• Data Distribution 33%