Discovery Projects - Grant ID: DP240102088

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP240102088

Funding Status
Active

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Funded Activity Summary

Causal Knowledge-Empowered Adaptive Federated Learning. 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.

Funded Activity Details

Start Date: 01-01-2024

End Date: 31-12-2026

Funding Scheme: Discovery Projects

Funding Amount: $506,145.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Data mining and knowledge discovery | Machine learning | Semi- and unsupervised learning |

ANZSRC Socio-Economic Objective (SEO)

Other Keywords

Artificial Intelligence | Data mining and knowledge discovery | Expanding Knowledge In the Information and Computing Sciences | Expanding Knowledge In the Mathematical Sciences | Machine learning | Semi- and unsupervised learning

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