To access this element change to forms mode OFF
Grant Award View - GA268721
Structured Federated Learning for Personalised Intelligence on Devices
GA ID:
GA268721
Agency:
Australian Research Council
Approval Date:
29-Sep-2022
Publish Date:
5-Oct-2022
Category:
Humanities, Arts and Social Sciences (HASS) Research
Grant Term:
1-Jan-2023 to 31-Dec-2025
Value (AUD):
$422,154.00
(GST inclusive where applicable)
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 22/23 Discovery
Grant Program:
Discovery Early Career Researcher Award
Grant Activity:
Structured Federated Learning for Personalised Intelligence on Devices
Purpose:
The project aims to develop a new structured federated machine-learning framework to enhance the customisation of artificial intelligence across mobile and smart devices. It seeks to enable users to receive customised services on their devices without sending their sensitive personal data to a cloud service provider. Anticipated benefits include greater privacy, data security and device performance, as well as better end-user experience. Expected outcomes of this research include new knowledge, toolkits and algorithms for use in developing machine-learning based secure, efficient and fault-tolerant technologies for software applications, mobile services, cloud computing, autonomous vehicles and advanced manufacturing processes.
GO ID:
GO Title:
Discovery Early Career Researcher Award for funding commencing in 2023
Internal Reference ID:
DE23 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
University of Technology Sydney
Recipient ABN:
77 257 686 961
Grant Recipient Location
Suburb:
ULTIMO
Town/City:
ULTIMO
Postcode:
2007
State/Territory:
NSW
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
NSW
Postcode:
2007
Country:
AUSTRALIA