Federated Multiple Tensor-on-Tensor Regression (FedMTOT) for Multimodal Data Under Data-Sharing Constraints

Keyphrases

• Data Sharing 100%
• Multimodal Data 100%
• Tensor Regression 100%
• Model Accuracy 66%
• System Dynamics 33%
• System Analysis 33%
• High-dimensional Data 33%
• System Modeling 33%
• Multiple Sites 33%
• Query Processing 33%
• Scalar 33%
• Individual Systems 33%
• Alternating Direction multiplier Method 33%
• Cost Data 33%
• Signal Waveform 33%
• Data Query 33%
• Storage Cost 33%
• Comprehensive Perspective 33%
• Data Combining 33%
• Data Management Policy 33%
• Policy Costs 33%
• Feature Knowledge 33%
• Population Bias 33%
• Large Amount of Data 33%
• Signal Image 33%
• Organized Point Cloud 33%
• Image-based Point Cloud 33%
• Federated Computations 33%

Computer Science

• Data Sharing 100%
• Model Accuracy 100%
• High Dimensional Data 50%
• Individual System 50%
• Point Cloud 50%
• Individual Model 50%
• Alternating Direction Method of Multipliers 50%
• Data Management 50%
• System Dynamics 50%
• Case Study 50%