A Game-Theoretic Approach to Design Secure and Resilient Distributed Support Vector Machines

Computer Science

• Theoretic Approach 100%
• Support Vector Machine 100%
• Learning Algorithm 66%
• Training Data 66%
• Network Topology 66%
• Processing Unit 33%
• Nash Equilibrium 33%
• Distributed Algorithm 33%
• Data Processing 33%
• Attackers 33%
• Machine Learning 33%
• Support Vector Machine 33%
• Control Unit 33%
• Classification Problem 33%
• Theoretic Framework 33%
• Distributed Learning 33%
• Conflicting Interest 33%

Keyphrases

• Data Processing Unit 25%
• Training Networks 25%
• Data Topology 25%
• Balanced Networks 25%
• Large-scale Classification 25%