Byzantine-Resilient Online Federated Learning with Applications to Network Traffic Classification

Keyphrases

• Resilient 100%
• Network Traffic Classification 100%
• Byzantine Empire 100%
• Asynchronous Federated Learning 100%
• Central Server 33%
• Byzantine Attacks 33%
• Learning Algorithm 16%
• Real-world Application 16%
• Vulnerability 16%
• Learning Process 16%
• Machine Learning Paradigms 16%
• Rapid Growth 16%
• Network Anomaly Detection 16%
• Evaluation Results 16%
• Streaming Data 16%
• Online Learning 16%
• Network Edge 16%
• Multiple Agents 16%
• Polynomial Complexity 16%
• F1 Score 16%
• Adversarial Agents 16%
• Distributed Machine Learning 16%
• Regret Bounds 16%
• Optimal Classification Model 16%
• Sub-linear Regret 16%
• Distributed Streaming 16%
• Application Identification 16%
• Distinctive Capabilities 16%

Computer Science

• Network Traffic 100%
• Federated Learning 100%
• Traffic Classification 100%
• Electronic Learning 16%
• Learning Algorithm 16%
• Time Complexity 16%
• World Application 16%
• Learning Process 16%
• Polynomial Time 16%
• Mild Condition 16%
• Anomaly Detection 16%
• Evaluation Result 16%
• Data Streaming 16%
• Classification Models 16%
• Multiple Agents 16%
• Distributed Machine Learning 16%