Privacy-Preserving Vertical Federated Learning with Tensor Decomposition for Data Missing Features

Keyphrases

• Privacy-preserving 100%
• Missing Data 100%
• Tensor Decomposition 100%
• Vertical Federated Learning 100%
• Missing Features 100%
• Differential Privacy 66%
• Feature Information 50%
• Client Data 33%
• Tensor Decomposition Networks 33%
• State-of-the-art Techniques 16%
• Denoising 16%
• Data Privacy 16%
• Non-overlapping 16%
• Noise Effects 16%
• Learning Performance 16%
• Feature Dimension 16%
• Machine Learning Models 16%
• Learning Solutions 16%
• Missing Ratio 16%
• Network Approach 16%
• Low-rank Tensor Decomposition 16%
• Federated Learning System 16%
• Data Privacy Protection 16%
• Feature Embedding 16%
• Global Classifier 16%
• Distributed Features 16%
• Overlapping Samples 16%
• Shared Machine Learning 16%
• Tensor Robust PCA 16%
• Overlapping Data 16%

Computer Science

• Privacy Preserving 100%
• Federated machine learning 100%
• Differential Privacy 66%
• Feature Information 50%
• Data Privacy 33%
• Data-Client 33%
• Experimental Result 16%
• Learning Framework 16%
• de-noising 16%
• Privacy Protection 16%
• Learning Performance 16%
• Feature Dimension 16%
• Machine Learning Model 16%