Preserving User Privacy For Machine Learning: Local Differential Privacy or Federated Machine Learning?

Keyphrases

• Machine Learning 100%
• User Privacy 100%
• Federated Learning 100%
• Local Differential Privacy 100%
• Mobile Devices 50%
• Personal Data 50%
• Privacy Concerns 25%
• Classification Accuracy 25%
• CPU Utilization 25%
• Public Concern 25%
• Training Model 25%
• Flexible Control 25%
• Control Protocol 25%
• Machine Learning Models 25%
• Data Leakage 25%
• IoT Devices 25%
• Text Messaging 25%
• Intelligent Applications 25%
• Browsing History 25%
• Parameter Update 25%
• Security Breaches 25%
• Privacy Security 25%
• Distributed Machine Learning 25%
• Machine Learning Strategies 25%
• Image Browsing 25%
• Distributed Data Collection 25%
• Data Collection Strategies 25%
• Privacy-preserving Machine Learning 25%
• Privacy Guarantees 25%
• Concern for Information Privacy 25%

Computer Science

• User Privacy 100%
• Differential Privacy 100%
• Machine Learning 100%
• Learning System 100%
• Personal Data 40%
• Mobile Device 20%
• Control Protocol 20%
• Security Breach 20%
• Browsing History 20%
• Distributed Machine Learning 20%
• Privacy Preserving Machine Learning 20%
• Misclassification Rate 20%
• Internet-Of-Things 20%