[CENTRA Webinar]
Date:11/18/2020 from 9-10am (Eastern) by Global *CENTRA project via ACIS Lab, University of Florida.* globalcentra.org
[Speaker]
Dr. Hana Khamfroush, University of Kentucky
[Abstract]
Edge computing is an enabling technology that pushes computationally intensive services to the edge to attain reduced delay due to physical proximity. However, due to hardware constraints of edge clouds, approaches to optimizing the performance of services while minimizing the cost of service implementation has been considered. More recently, different implementations of deep learning based services such as split learning, and federated learning at the edge have been studied. This talk describes the potential challenges of implementing deep learning-based services at the edge and the QoS-cost tradeoff for such implementations. Some initial results will be presented.
