公开(公告)号：US20230138780A1

公开(公告)日：2023-05-04

申请号：US17515438

申请日：2021-10-30

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： SATHYANARAYANAN MANAMOHAN ,  KRISHNAPRASAD LINGADAHALLI SHASTRY ,  SORIN-CRISTIAN CHERAN

IPC: G06N20/20 ,  G06F16/27

Abstract: Systems and methods are provided for machine learning in a distributed, privacy-preserving manner. Particularly, the decentralized system can share machine learning models in a protected manner by training a first sub-model with a first local data set at a first node and obfuscating the trained first sub-model as a first obfuscated sub-model. The model may be shared with a second node, that can construct a local instance of a stacked ensemble comprising the first obfuscated sub-model and a trainable parametric layer and train the local instance of the stacked ensemble with a second local data set accessible locally at the second node.