Website
https://dataportal.arc.gov.au/NCGP/API/grants/DP220100983
Funding Status
Active
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Funded Activity Summary
Blockchain-Enabled Federated Learning for Secure and Decentralised Learning. This project aims to develop novel blockchain-enabled federated learning techniques for secure and decentralised learning. It addresses an important and urgent machine learning problem, that is, the data useful for training machine learning models are often held by different owners who are not willing to share their data due to privacy concerns, resulting in isolated data islands. The project will result in a set of innovative algorithms that provide solutions to the key challenges in blockchain-enabled federated learning. The expected outcomes of the project will dramatically advance the frontier of machine learning and blockchain research, and have massive social and economic benefits for Australia and international communities.Funded Activity Details
Start Date: 08-2022
End Date: 07-2025
Funding Scheme: Discovery Projects
Funding Amount: $455,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Distributed Computing | Global Information Systems | Computer System Security | Distributed and Grid Systems
ANZSRC Socio-Economic Objective (SEO)
Information Processing Services (incl. Data Entry and Capture) |
