DISBELIEVE: Distance Between Client Models Is Very Essential for Effective Local Model Poisoning Attacks

Keyphrases

• Local Model 100%
• Model Poisoning Attack 100%
• Aggregation Behavior 75%
• Global Model 75%
• Robust Aggregation 75%
• Medical Image Analysis 50%
• Malicious Clients 50%
• Benchmark Dataset 25%
• Classification Performance 25%
• Publicly Available 25%
• Model Performance 25%
• Natural Images 25%
• CIFAR-10 25%
• Federated Learning 25%
• Privacy Concerns 25%
• Multi-class Classification 25%
• Adverse Effects 25%
• Medical Image Data 25%
• Federated Systems 25%
• Promising Direction 25%

Computer Science

• Image Analysis 100%
• Malicious Client 100%
• Performance Model 50%
• Federated Learning 50%
• Multi Class Classification 50%
• Classification Performance 50%
• Multiclass Classification 50%
• Related Privacy Issue 50%