Longitudinal federal feature derivation method and device based on privacy calculation, and medium
A vertical and private technology, applied in the computer field, can solve problems affecting model training efficiency, sparse effective values, and many invalid eigenvalues of samples, and achieve the effect of improving training efficiency and improving efficiency
Pending Publication Date: 2022-08-09
杭州博盾习言科技有限公司
View PDF0 Cites 3 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
However, in vertical federated learning, there are usually many invalid eigenvalues in the sample (it can also be understood that the valid values in the sample are sparse), and the dimension of this sample is usually relatively high. In the application scenario of vertical federated learning, it is easy to Affect model training efficiency
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0063] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments, however, can be embodied in various forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this application will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided in order to give a thorough understanding of the embodiments of the present application. However, those skilled in the art will appreciate that the technical solutions of the present application may be practiced without one or more of the specific details, or other methods, components, devices, steps, etc. may be employed. In other instances, well-known solutions have not b...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention provides a longitudinal federal feature derivation method and device based on privacy calculation and a medium, and relates to the technical field of computers. Comprising the steps that a first participant determines a target loss function based on a first linear feature and a first interaction feature generated by the first participant, a second linear feature and a second interaction feature generated by a second participant and a feature tag of the first participant, and determines a first gradient used for updating a first model parameter according to the target loss function; encrypting the residual feature in the first gradient into a residual ciphertext, and sending the residual ciphertext to the second participant; the second participant generates a gradient ciphertext to be decrypted according to the residual ciphertext, and sends the gradient ciphertext to be decrypted to the first participant; and the first participant decrypts the gradient ciphertext to be decrypted to obtain target data containing a second gradient used for updating the second model parameter, and sends the target data to the second participant. Therefore, the model training efficiency can be improved in a longitudinal federated learning scene.
Description
technical field [0001] The present application relates to the field of computer technology, and in particular, to a method, device, and medium for derivation of vertical federated features based on privacy computing. Background technique [0002] With the development of artificial intelligence technology, people's demand for data is increasing. Different organizations have different data, and the data often have multi-dimensional complementarity. Therefore, there is usually a great demand for data fusion between different Internet organizations. Due to the privacy protection of local data, it is difficult for data from different organizations to be directly aggregated, so it is easy to form data islands, making it difficult for Internet organizations to use existing data in multiple fields to complete further research and development. Therefore, a federated learning method is proposed to solve the above problems. [0003] Generally speaking, vertical federated learning met...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G06N20/20G06F21/60
CPCG06N20/20G06F21/602G06F2211/008
Inventor 崔琢周一竞孟丹李晓林
Owner 杭州博盾习言科技有限公司