most citedPrivacy-Preserving Heterogeneous Federated Learning for Sensitive Healthcare Data

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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.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…