|Title: Practical Coded Computation Mechanisms for Distributed Computing|
|Seminar: Computer Science|
|Speaker: Dr. Hulya Seferoglu, University of Illinois at Chicago|
|Contact: Vaidy Sunderam, firstname.lastname@example.org|
|Date: 2021-12-10 at 1:00PM|
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A massive amount of data is generated with the emerging Internet of Things (IoT) including self-driving cars, drones, robots, smartphones, wireless sensors, smart meters, health monitoring devices. These data are expected to be processed in real-time in many time sensitive IoT applications, which is extremely challenging if not impossible with existing centralized cloud. For example, self-driving cars generate around 10GB of data per mile. Transmitting such massive data from end devices (such as self-driving cars) to the centralized cloud and expecting timely processing are not realistic with limited bandwidth between the end users and the centralized cloud. A distributed computing system, where computationally intensive aspects are distributively and securely processed at the end devices with possible help from edge servers and the cloud, might be a better approach to solving this problem. In this context, this talk will present our recent efforts on practical distributed computing mechanisms to securely harvest heterogeneous resources including computing power, storage, battery, networking resources, etc., scattered across end devices, edge servers, and cloud. The first part of the talk will focus on secure coded computation algorithms and protocols adaptive to heterogeneous and dynamic nature of edge computing systems and resources, while the second part will explore distributed learning at the edge.
Biography: Hulya Seferoglu is an Associate Professor in the Electrical and Computer Engineering Department of University of Illinois at Chicago. Before joining University of Illinois at Chicago, she was a Postdoctoral Associate at Massachusetts Institute of Technology. She received her Ph.D. degree in Electrical and Computer Engineering from University of California, Irvine, M.S. degree in Electrical Engineering and Computer Science from Sabanci University, and B.S. degree in Electrical Engineering from Istanbul University. She worked as a summer intern in AT&T Labs Research, Docomo USA Labs, and Microsoft Research, Cambridge. She serves as an associate editor for IEEE/ACM Transactions on Networking. She received the NSF CAREER award in 2020.
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