FedDebug: Systematic Debugging for Federated Learning Applications

Keyphrases

• Debugging 100%
• Federated Learning 100%
• Federated Learning System 100%
• Global Model 55%
• Collaborative Training 22%
• Model Performance 22%
• Aggregator 11%
• Model Accuracy 11%
• Medical Imaging 11%
• Testing Data 11%
• Training Time 11%
• Trial-and-error 11%
• Local Model 11%
• Automatically Identify 11%
• Normal Behavior 11%
• Learning State 11%
• Fault Localization 11%
• Learning Characteristics 11%
• Client Data 11%
• Application Developers 11%
• Record-and-replay 11%
• Neuron Activation 11%
• Pain Points 11%
• Round Model 11%
• Data Privacy Concerns 11%
• Impermissibility 11%
• Interactive Debugging 11%
• Systematic Fault 11%
• Debugging Strategies 11%
• Differential Testing 11%
• Data Training 11%

Computer Science

• Federated Learning 100%
• Performance Model 18%
• Medical Imaging 9%
• Learning State 9%
• Model Accuracy 9%
• Privacy Concern 9%
• Normal Behavior 9%
• Data Privacy 9%
• Fault Localization 9%
• Data-Client 9%
• Systematic Fault 9%
• Application Developer 9%