公开(公告)号：US20220398500A1

公开(公告)日：2022-12-15

申请号：US17332893

申请日：2021-05-27

Applicant: Google LLC

Inventor： Karan Singhal ,  Hakim Sidahmed, JR. ,  Zachary A. Garrett ,  Shanshan Wu ,  John Keith Rush ,  Sushant Prakash

IPC: G06N20/20

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a machine learning model having a set of local model parameters and a set of global model parameters under a partially local federated learning framework. One of the methods include maintaining local data and data defining the local model parameters; receiving data defining current values of the global model parameters; determining, based on the local data, the local model parameters, and the current values of the global model parameters, current values of the local model parameters; determining, based on the local data, the current values of the local model parameters, and the current values of the global model parameters, updated values of the global model parameters; generating, based on the updated values of the global model parameters, parameter update data defining an update to the global model parameters; and transmitting the parameter update data.