most citedPrivacy-Preserving Heterogeneous Federated Learning for Sensitive Healthcare Data

2 citations · 2 across the 2 of their papers we have counts for

collaborators

3 papers

cs.LG2026

BicKD: Bilateral Contrastive Knowledge Distillation

Jiangnan Zhu, Yukai Xu, Li Xiong +4

Knowledge distillation (KD) is a machine learning framework that transfers knowledge from a teacher model to a student model. The vanilla KD proposed by Hinton et al. has been the…

cs.CR2024

PAD-FT: A Lightweight Defense for Backdoor Attacks via Data Purification and Fine-Tuning

Yukai Xu, Yujie Gu, Kouichi Sakurai

Backdoor attacks pose a significant threat to deep neural networks, particularly as recent advancements have led to increasingly subtle implantation, making the defense more challe…

cs.LG2024★ 2 cited

Privacy-Preserving Heterogeneous Federated Learning for Sensitive Healthcare Data

Yukai Xu, Jingfeng Zhang, Yujie Gu

In the realm of healthcare where decentralized facilities are prevalent, machine learning faces two major challenges concerning the protection of data and models. The data-level ch…