no code implementations • 23 Feb 2024 • Jiwoong Im, Nayoung Kwon, Taewoo Park, Jiheon Woo, Jaeho Lee, Yongjune Kim
Therefore, instead of employing the partitioning strategy, our framework utilizes a lightweight ViT model on the edge device, with the server deploying a complicated ViT model.
no code implementations • 6 Oct 2022 • Seonhyeong Kim, Jiheon Woo, Daewon Seo, Yongjune Kim
Federated learning (FL) is a distributed method to train a global model over a set of local clients while keeping data localized.