FedAnomDetect a Clustered Federated Learning Framework for Robust Anomaly Detection With Enhanced Privacy and Communication Efficiency

Computer Science

• Anomaly Detection 100%
• Learning Framework 100%
• Federated machine learning 100%
• Detection Accuracy 40%
• Communication Overhead 40%
• Experimental Result 20%
• Computational Cost 20%
• False Positive Rate 20%
• Data Security 20%
• Distributed Environment 20%
• Distributed Network 20%
• Differential Privacy 20%
• Privacy-Preserving Technique 20%
• Adversarial Robustness 20%