公开(公告)号：US20240054391A1

公开(公告)日：2024-02-15

申请号：US17928372

申请日：2022-04-05

Applicant: GOOGLE LLC

Inventor： Abhradeep Guha Thakurta ,  Li Zhang ,  Prateek Jain ,  Shuang Song ,  Steffen Rendle ,  Steve Shaw-Tang Chien ,  Walid Krichene ,  Yarong Mu

IPC: G06N20/00 ,  G06F21/62

CPC classification number: G06N20/00 ,  G06F21/6218

Abstract: Computer-implemented systems and methods for training a decentralized model for making a personalized recommendation. In one aspect, the method comprising: obtaining, using user activity data, client-side training data that includes features and training labels; and training, by the client device, a decentralized model in training rounds, wherein training, in each training round comprises: receiving, first data including a current server-side embedding generated by the server-side machine learning model, wherein the first data received from the server does not include any server-side data used in generating the current server-side embedding; generating, using the client-side machine learning model, a client-side embedding based on the client-side training data; updating, using the client-side embedding and the current server-side embedding and based on the training labels, the client-side machine learning model; generating, an updated client-side embedding; and transmitting second data including the updated client-side embedding for subsequent updating of the server-side machine learning model.