Collaborative and Reliable Machine Learning in Edge Computing Environment. This project aims to deliver a suite of methods and techniques to enable collaborative and reliable machine learning (ML) ove

Description

Collaborative and Reliable Machine Learning in Edge Computing Environment. This project aims to deliver a suite of methods and techniques to enable collaborative and reliable machine learning (ML) over 5G/6G networks. It will generate new approaches to tackle the scalability and security challenges in training ML models in Mobile Edge Computing where data processing occurs near end users. Expected outcomes include novel techniques, mechanisms, and schemes for developing and deploying 5G/6G artificial intelligence (AI) applications with performance and privacy guarantees. It will drive Australia's 5G/6G initiatives by enabling edge AI applications in various areas such as smart cities and remote learning. It will strengthen post-COVID economic resilience and enhance Australia’s leadership in global 5G/6G research.. Scheme: Early Career Industry Fellowships. Field: 4605 - Data Management and Data Science. Lead: Dr Feifei Chen