Privacy protection-based multicollinearity detection methods, apparatuses, and systems
US12169582B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Jan 27, 2022 |
| Grant date | Dec 17, 2024 |
| Priority date | — |
| Expiry date | Feb 5, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L2209/46
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
One or more embodiments of the present specification provide privacy protection-based multicollinearity detection methods, apparatuses, and systems. Data alignment is performed by a member device on respective local feature data with other member devices to construct a joint feature matrix. Privacy protection-based multi-party matrix multiplication computation is performed to compute a product matrix of a transposed matrix of the joint feature matrix and the joint feature matrix. An inverse matrix of the product matrix is determined based on respective submatrices of the product matrix. A variance inflation factor of each attribute feature is determined by the member device with the other member devices using respective submatrices of the inverse matrix and the respective local feature data. Multicollinearity is determined by the member device with the other member devices based on fragment data of the variance inflation factor of each attribute feature.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.