On-device privatization of multi-party attribution data
US12327150B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 1, 2022 |
| Grant date | Jun 10, 2025 |
| Priority date | — |
| Expiry date | Aug 27, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0246
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of the disclosed technologies receive first event data associated with a first party application, receive second event data representing a click, in the first party application, on a link to a third party application, receive third event data from the third party application, convert the third event data to a label, map a compressed format of the labeled third event data to the first event data and the second event data to create multi-party attribution data, group multiple instances of the multi-party attribution data into a batch, add noise to the compressed format of the labeled third event data in the batch, and send the noisy batch to a second computing device. A debiasing algorithm can be applied to the noisy batch. The debiased noisy batch can be used to train at least one machine learning model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.