Privacy-Preserving Generalized Linear Models using Distributed Block Coordinate Descent

Keyphrases

• Generalized Linear Model 100%
• Privacy-preserving 100%
• Block Coordinate Descent 100%
• Vertically Partitioned Data 100%
• Data Combination 66%
• Parameter Estimation 33%
• Communication Cost 33%
• Information Transfer 33%
• Computation Time 33%
• Data Sharing 33%
• Ethical Issues 33%
• Prediction Method 33%
• Real-world Application 33%
• Classification Procedure 33%
• Knowledge Discovery 33%
• Practical Implementation 33%
• Viable Approach 33%
• Data Reconstruction 33%
• Computational Complexity 33%
• Real-world Examples 33%
• Legal Conditions 33%
• Feature Space 33%
• Cryptography 33%
• Privacy Preserving Data Mining 33%
• Distributed Data Mining 33%
• Semi-honest 33%
• Distributed Learning 33%

Computer Science

• Privacy Preserving 100%
• Partitioned Data 100%
• Communication Cost 33%
• Data Mining 33%
• Data Sharing 33%
• Transfer Information 33%
• Knowledge Discovery 33%
• Computational Complexity 33%
• World Application 33%
• Feature Space 33%
• Distributed Learning 33%
• Computation Time 33%
• Collected Data 33%
• Parameter Estimate 33%
• Simulated World 33%