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Differentially Private Log-Location-Scale Regression Using Functional Mechanism
This article introduces differentially private log-location-scale (DP-LLS) regression models, which incorporate differential privacy into LLS regression through the functional mechanism.
Federated Multilinear Principal Component Analysis with Applications in Prognostics
Simulated data and a real-world data set are used to validate the performance of the proposed method.
A Federated Data Fusion-Based Prognostic Model for Applications with Multi-Stream Incomplete Signals
Most prognostic methods require a decent amount of data for model training.
A Supervised Tensor Dimension Reduction-Based Prognostics Model for Applications with Incomplete Imaging Data
This paper proposes a supervised dimension reduction methodology for tensor data which has two advantages over most image-based prognostic models.
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