Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP230101749
Funding Status
Active
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Funded Activity Summary
Distributed Optimisation without Central Coordination. This project will develop the mathematical foundations for discovery and analysis of iterative methods for optimisation problems in distributed computing systems. Most methods in distributed optimisation were not designed for distributed computing, rather they were adapted for purpose post-hoc. By building on recent advances in monotone operator splitting, this project expects to develop a mathematical theory for decentralised optimisation algorithms specially designed for distributed systems. The framework is expected to produce a suite of algorithms, each customised to exploit a specific network configuration. The project will provide significant benefits in distributed machine learning applications such as federated learning.Funded Activity Details
Start Date: 07-2023
End Date: 06-2026
Funding Scheme: Discovery Projects
Funding Amount: $375,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Optimisation | Operations research | Applied mathematics
ANZSRC Socio-Economic Objective (SEO)
