Adaptive Federated Learning on Non-IID Data with Resource Constraint

Keyphrases

• Resource Constraints 100%
• Federated Learning 100%
• Non-independent and Identically Distributed Data 100%
• Adaptive Federated Learning 100%
• Batch Size 50%
• Model Accuracy 50%
• Training Process 50%
• Global Model 50%
• Global Aggregation 50%
• Local Training 50%
• Negative Impact 25%
• Adaptive Adjustment 25%
• Data Distribution 25%
• Identically Distributed 25%
• Local Model 25%
• Different Datasets 25%
• Learning-based 25%
• Training Performance 25%
• End Device 25%
• Model Update 25%
• Stochastic Gradient Descent 25%
• Hyperparameters 25%
• Distributed Problems 25%
• Local Update 25%
• Deep Reinforcement Learning (deep RL) 25%

Computer Science

• Federated Learning 100%
• Resource Constraint 100%
• Model Accuracy 40%
• Training Process 40%
• Deep Reinforcement Learning 20%
• Gradient Descent 20%
• Individual End 20%
• Negative Impact 20%
• Data Distribution 20%
• Leaning Parameter 20%