2 citations · 3 across the 2 of their papers we have counts for
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cs.LG2022★ 2 cited
Communication-Efficient and Drift-Robust Federated Learning via Elastic Net
Seonhyeong Kim, Jiheon Woo, Daewon Seo +1
Federated learning (FL) is a distributed method to train a global model over a set of local clients while keeping data localized. It reduces the risks of privacy and security but f…
cs.LG2022★ 1 cited
Improved Input Reprogramming for GAN Conditioning
Tuan Dinh, Daewon Seo, Zhixu Du +2
We study the GAN conditioning problem, whose goal is to convert a pretrained unconditional GAN into a conditional GAN using labeled data. We first identify and analyze three approa…