1 code implementation • 11 Oct 2023 • Kyuyeon Kim, Junsik Jung, Woo Jae Kim, Sung-Eui Yoon
To implement the prior knowledge, we first train the audio-visual network, which learns the correspondence between auditory and visual information.
1 code implementation • 30 Mar 2020 • Yansong Gao, Minki Kim, Sharif Abuadbba, Yeonjae Kim, Chandra Thapa, Kyuyeon Kim, Seyit A. Camtepe, Hyoungshick Kim, Surya Nepal
For learning performance, which is specified by the model accuracy and convergence speed metrics, we empirically evaluate both FL and SplitNN under different types of data distributions such as imbalanced and non-independent and identically distributed (non-IID) data.
1 code implementation • 16 Mar 2020 • Sharif Abuadbba, Kyuyeon Kim, Minki Kim, Chandra Thapa, Seyit A. Camtepe, Yansong Gao, Hyoungshick Kim, Surya Nepal
We observed that the 1D CNN model under split learning can achieve the same accuracy of 98. 9\% like the original (non-split) model.