Discovery Early Career Researcher Award - Grant ID: DE230100495

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE230100495

Funding Status
Active

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Funded Activity Summary

Structured Federated Learning for Personalised Intelligence on Devices. 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.

Funded Activity Details

Start Date: 01-01-2023

End Date: 31-12-2025

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $422,154.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Deep learning | Data mining and knowledge discovery | Machine learning |

ANZSRC Socio-Economic Objective (SEO)

Other Keywords

Artificial Intelligence | Cybersecurity | Data mining and knowledge discovery | Deep learning | Machine learning

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