公开(公告)号：US20220383204A1

公开(公告)日：2022-12-01

申请号：US17535405

申请日：2021-11-24

Applicant: GOOGLE LLC

Inventor： Om Dipakbhai Thakkar ,  Trung Dang ,  Swaroop Indra Ramaswamy ,  Rajiv Mathews ,  Françoise Beaufays

IPC: G06N20/20

Abstract: Implementations relate to ascertaining to what extent predictions, generated using a machine learning model, can be effectively reconstructed from model updates, where the model updates are generated based on those predictions and based on applying a particular loss technique (e.g., a particular cross-entropy loss technique). Some implementations disclosed generate measures that each indicate a degree of conformity between a corresponding reconstruction, generated using a corresponding model update, and a corresponding prediction. In some of those implementations, the measures are utilized in determining whether to utilize the particular loss technique (utilized in generating the model updates) in federated learning of the machine learning model and/or of additional machine learning model(s).