A privacy-preserving and computation-efficient federated algorithm for generalized linear mixed models to analyze correlated electronic health records data
Large collaborative research networks provide opportunities to jointly analyze multicenter
electronic health record (EHR) data, which can improve the sample size, diversity of the …
electronic health record (EHR) data, which can improve the sample size, diversity of the …
Privacy-preserving and lossless distributed estimation of high-dimensional generalized additive mixed models
Various privacy-preserving frameworks that respect the individual's privacy in the analysis of
data have been developed in recent years. However, available model classes such as …
data have been developed in recent years. However, available model classes such as …
[PDF][PDF] Federated Learning Model for Auto Insurance Rate Setting Based on Tweedie Distribution.
T Yin, C Peng, W Tan, D Xu… - CMES-Computer Modeling …, 2024 - cdn.techscience.cn
In the assessment of car insurance claims, the claim rate for car insurance presents a highly
skewed probability distribution, which is typically modeled using Tweedie distribution. The …
skewed probability distribution, which is typically modeled using Tweedie distribution. The …
Privacy-Preserving and Lossless Distributed Estimation of High-Dimensional Generalized Additive Mixed Models
Various privacy-preserving frameworks that respect the individual's privacy in the analysis of
data have been developed in recent years. However, available model classes such as …
data have been developed in recent years. However, available model classes such as …
[引用][C] An Efficient Multi-Class Privacy-Preserving-Based Encryption Framework for Large Distributed Databases
S Mohammed Gouse, V Babu Burra - International Journal of …, 2023 - World Scientific
This paper introduces a novel hybrid filter-based ensemble multi-class classification model
for distributed privacy-preserving applications. The conventional privacy-preserving multi …
for distributed privacy-preserving applications. The conventional privacy-preserving multi …