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

Prof. Kim's research team paper, "Energy-efficient edge learning via joint data deepening-and-prefetching", has been accepted by IEEE Transactions on Wireless Communications (IEEE TWC, IF 10.4). This paper introduces a novel algorithm that improves device energy efficiency by measuring the importance of the data in feature units, reducing the data required to train an artificial intelligence model. This work was led by graduate student Sujin Kook (first author).

S. Kook, Won-Yong Shin, S.-L. Kim, and S.-W. Ko, "Energy-Efficient Edge Learning via Joint Data Deepening-and-Prefetching," to appear in IEEE Transactions on Wireless Communications. 2024