Distributed Learning over Edge Computing to Support Covid-19 Modelling

The proposed research will allow any device to contribute its computing capabilities to the general distributed computer. Combined, these devices become a super-computer — providing resources for researchers and scientists in their quest for discovery. This research focuses on the finely calibrated aspects of scheduling slices of computing on this computing network. The intern will be involved in performing the raw science in the laboratory and then bringing those results to the non-academic partner for incorporation into the product’s commercialization.

Distributing Computing and Machine Learning Applications

Kings Distributed Systems (KDS) is working with researchers at Queen’s University to break down barriers to the development of powerful machine learning applications by using distributed computing. By connecting any device - everything from smartphones to enterprise servers - and harnessing their excess power to complete tasks, the Distributed Compute Protocol (DCP) substantially reduces costs while providing innovators and industries with the fuel they need to compete. It’s a scalable, easily accessible system that’s democratizing the industry and encouraging growth in emerging sectors.