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

DOI10.1080/00401706.2024.2333506MaRDI QIDQ6637478

Massimo Pacella, Mostafa Reisi Gahrooei, Zihan Zhang, Jianjun Shi, Shancong Mou

Publication date: 13 November 2024

Published in: Technometrics (Search for Journal in Brave)

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Cites Work

• Tensor-on-Tensor Regression
• Tensor Decompositions and Applications
• Regularized high dimension low tubal-rank tensor regression
• Tensor Regression with Applications in Neuroimaging Data Analysis
• Image-Based Prognostics Using Penalized Tensor Regression
• Structured Point Cloud Data Analysis Via Regularized Tensor Regression for Process Modeling and Optimization
• Image-Based Feedback Control Using Tensor Analysis
• Multiple Tensor-on-Tensor Regression: An Approach for Modeling Processes With Heterogeneous Sources of Data

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