Invention Grant
- Patent Title: Distributed machine learning for improved privacy
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Application No.: US17726338Application Date: 2022-04-21
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Publication No.: US11809972B2Publication Date: 2023-11-07
- Inventor: Vasyl Pihur , Subhash Sankuratripati , Dachuan Huang , Antonio Marcedone , Frederick Liu , Ruogu Zeng
- Applicant: Snap Inc.
- Applicant Address: US CA Santa Monica
- Assignee: Snap Inc.
- Current Assignee: Snap Inc.
- Current Assignee Address: US CA Santa Monica
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06N5/04 ; H04L51/18 ; H04L51/52

Abstract:
Methods, computer readable media, devices, and systems provide for distributed machine learning. In one aspect, a method of training a model is disclosed. The method includes receiving, by a client device, from one or more servers, an intermediate model, training, by the client device, the intermediate model based on private data, and transmitting, by the client device, to the one or more servers, the trained intermediate model.
Public/Granted literature
- US20220245524A1 DISTRIBUTED MACHINE LEARNING FOR IMPROVED PRIVACY Public/Granted day:2022-08-04
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