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Grant Award View - GA350738
Causal Knowledge-Empowered Adaptive Federated Learning
GA ID:
GA350738
Agency:
Australian Research Council
Approval Date:
12-Dec-2023
Publish Date:
20-Dec-2023
Category:
Humanities, Arts and Social Sciences (HASS) Research
Grant Term:
1-Jan-2024 to 31-Dec-2026
Value (AUD):
$506,145.00
(GST inclusive where applicable)
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 23/24 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Causal Knowledge-Empowered Adaptive Federated Learning
Purpose:
Federated learning tools are a promising framework for collaborative machine learning (ML) that also maintain data privacy; however, their ability to model heterogeneous data remains a key challenge. This project aims to develop a new learning scheme for coordinated training of ML models that successfully bridges variable data distributions. The framework proposed will be the first globally that can use causal knowledge to 1) handle data heterogeneity across devices and 2) address the real-world challenges when only a subset of devices have labelled data. Expected outcomes and benefits include the theoretical underpinnings and algorithms of causality-based collaborative training of ML models while better preserving the users’ data privacy.
GO ID:
GO Title:
Discovery Projects for funding commencing in 2024
Internal Reference ID:
DP24 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of Melbourne
Recipient ABN:
84 002 705 224
Grant Recipient Location
Suburb:
PARKVILLE
Town/City:
PARKVILLE
Postcode:
3052
State/Territory:
VIC
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
VIC
Postcode:
3052
Country:
AUSTRALIA