公开(公告)号：US20230394516A1

公开(公告)日：2023-12-07

申请号：US18132021

申请日：2023-04-07

Applicant: UNIVERSITY OF SOUTHERN CALIFORNIA

Inventor： Jose Luis AMBITE MOLINA ,  Dimitrios STRIPELIS

IPC: G06Q30/0207 ,  G06N3/098

CPC classification number: G06Q30/0215 ,  G06N3/098

Abstract: A federated learning environment includes a central coordinator that is responsible to orchestrate execution of the federated learning environment, and a plurality of clients jointly that trains machine learning and deep learning models on client computing devices without sharing their local private datasets. The clients only share their locally trained model parameters with the central coordinator. Model parameters are encrypted before sharing with the controller. The central coordinator aggregates local models and computes a new global model in encrypted space. This process repeats for a number of synchronization periods or asynchronously until specific convergence criteria are met. A federated learning marketplace is established to incentivize data providers to join federations through a revenue-sharing model, and to facilitate the use of machine-learning models to organizations outside of the federation.