Blockchain-Enhanced Federated Learning for Secure Edge Computing. This project aims to address the pressing requirement to secure edge computing applications across diverse sectors such as healthcare,

Description

Blockchain-Enhanced Federated Learning for Secure Edge Computing. This project aims to address the pressing requirement to secure edge computing applications across diverse sectors such as healthcare, transportation, and manufacturing, which are gaining significance in Australia and worldwide. This project expects to generate new knowledge in federated learning by combining blockchain and graph modelling technologies, aligning with national cybersecurity priorities and contributing to a safer digital environment for individuals, businesses, and critical infrastructure. Expected outcomes include improved edge computing performance, privacy preservation, and attack resistance for both internal and external threats, benefiting the Australian community and supporting the nation's digital transformation.. Scheme: Discovery Early Career Researcher Award. Field: 4605 - Data Management and Data Science. Lead: Dr Jiao Yin