Discovery Early Career Researcher Award - Grant ID: DE240100165

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE240100165

Funding Status
Active

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Funded Activity Summary

Evolving privacy and utility in data storage and publishing. This project aims to develop a distributed evolutionary computation-based framework to optimize data privacy and utility in distributed database systems. It intends to synchronously solve the conflicting challenges of privacy preservation and utility maintenance in multi-objective, dynamic, and multitasking scenarios. Expected outcomes include a new computation framework as a service and freely available distributed computation models, evolutionary algorithms, and knowledge-transfer strategies. Anticipated benefits include theoretical contributions to artificial intelligence, cyber security, distributed computation, and a service to eliminate data owners’ privacy concerns while guaranteeing the value of data in further utilization.

Funded Activity Details

Start Date: 01-01-2024

End Date: 31-12-2026

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $443,847.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Data engineering and data science | Database systems | Natural language processing | Data management and data science

ANZSRC Socio-Economic Objective (SEO)

Other Keywords

Artificial Intelligence | Data engineering and data science | Data management and data science | Database systems | Information Systems | Natural language processing

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