Discovery Projects - Grant ID: DP200103718

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP200103718

Funding Status
Active

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Funded Activity Summary

Edge-Accelerated Deep Learning. Implementing deep learning (DL) applications usually requires a large amount of collected data and powerful computing resources in the cloud. However, this centralised approach has issues of high latency, large bandwidth usage, and possible privacy violation for many practical applications. Without properly addressing these issues, the wider application of DL in practice will seriously be hindered. This project aims to solve several key challenging problems in effective deployment and efficient execution of DL applications in a distributed edge-computing environment. Several innovative edge-computing methods will be developed for DL training, inference and implementation to achieve high performance with low latency and enhanced privacy.

Funded Activity Details

Start Date: 01-01-2020

End Date: 31-12-2024

Funding Scheme: Discovery Projects

Funding Amount: $390,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Distributed Computing | Concurrent Programming | Networking and Communications

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Information and Computing Sciences | Mobile Data Networks and Services | Application Tools and System Utilities |

Other Keywords

Application Tools and System Utilities | Concurrent Programming | Distributed Computing | Expanding Knowledge in the Information and Computing Sciences | Mobile Data Networks and Services | Networking and Communications

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