Search Results for author: Sujin Kook

Found 2 papers, 0 papers with code

Energy-Efficient Edge Learning via Joint Data Deepening-and-Prefetching

no code implementations19 Feb 2024 Sujin Kook, Won-Yong Shin, Seong-Lyun Kim, Seung-Woo Ko

The vision of pervasive artificial intelligence (AI) services can be realized by training an AI model on time using real-time data collected by internet of things (IoT) devices.

Understanding Uncertainty of Edge Computing: New Principle and Design Approach

no code implementations1 Jun 2020 Sejin Seo, Sang Won Choi, Sujin Kook, Seong-Lyun Kim, Seung-Woo Ko

Due to the edge's position between the cloud and the users, and the recent surge of deep neural network (DNN) applications, edge computing brings about uncertainties that must be understood separately.

Information Theory Networking and Internet Architecture Information Theory

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