This PhD scholarship is funded by the Australian Research Council (ARC) Discovery Project "Distributed Optimisation without Central Coordination".
The rise of widely available and on-demand cloud computing platforms has provided an easily accessible and cost-effective model for distributed computation. However, most existing distributed optimisation algorithms essentially rely on adapting classical non-distributed algorithms into the realm of distributed optimisation. This project aims to develop, analyse and deploy new algorithms for distributed asynchronous optimisation that do not require a central coordinator to aggregate information from individual devices. The theoretical foundations for these algorithms will be base on an abstract framework provided by monotone operator theory. This approach allows for a unified treatment of algorithms across a wide range of problems including minimisation problems, saddle-point problems and variational inequalities. The newly developed algorithms will be applied to large-scale optimisation problems arising in federated learning.
The PhD student will work under the supervision of Dr Minh N. Dao (RMIT) and Dr Matthew K. Tam (UniMelb) within the Australian Research Council (ARC) Discovery Project "Distributed Optimisation without Central Coordination". The candidate will preferably have experience with at least one of the following areas: continuous optimisation, distributed optimisation, monotone operator splitting, non-smooth and variational analysis, or federated learning.
This scholarship provides a stipend of $33,826 per annum (pro-rata) for three years and successful applicants will also be awarded a Tuition Fee Scholarship.
Applications are now open.
Until the position is filled.
One (1) scholarship available
The minimum requirements are:
Interested candidates should contact the RMIT supervisor by email at email@example.com. Please provide the following documentation to the RMIT supervisor in your email:
Upon response and approval from the supervisor, you should then submit an application for 'Admission Only' via the Online application service.
This PhD scholarship is funded by the Australian Research Council (ARC) Discovery Project "Distributed Optimisation without Central Coordination" whose objectives are to:
Acknowledgement of Country
RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Luwaytini' by Mark Cleaver, Palawa.