Invention Application
- Patent Title: Enhanced Privacy Federated Learning System
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Application No.: US17423695Application Date: 2019-01-18
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Publication No.: US20220083911A1Publication Date: 2022-03-17
- Inventor: Adrian Flanagan , Kuan Eeik Tan , Qiang Fu
- Applicant: Huawei Technologies Co., Ltd.
- Applicant Address: CN Shenzhen
- Assignee: Huawei Technologies Co., Ltd.
- Current Assignee: Huawei Technologies Co., Ltd.
- Current Assignee Address: CN Shenzhen
- International Application: PCT/EP2019/051250 WO 20190118
- Main IPC: G06N20/00
- IPC: G06N20/00

Abstract:
A user equipment includes a processor configured to download a master machine learning model for generating a user recommendation related to use of an application of the user equipment, calculate a model update for the master machine learning model using the master machine learning model and data related to one or more of a user of the user equipment or a user interaction with the user equipment, encode the calculated model update using an ε-differential privacy mechanism and transmit the ε-differential privacy encoded model update.
Information query