Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI

1 code implementation • 20 Feb 2023 • Juexiao Zhou, Longxi Zhou, Di Wang, Xiaopeng Xu, Haoyang Li, Yuetan Chu, Wenkai Han, Xin Gao

However, there are few open-source frameworks for federated heterogeneous medical image analysis with personalization and privacy protection simultaneously without the demand to modify the existing model structures or to share any private data.

Privacy Preserving

Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling

no code implementations • 23 Dec 2019 • Wenkai Han, Chenglu Wen, Cheng Wang, Xin Li, Qing Li

Point2Node can dynamically explore correlation among all graph nodes from different levels, and adaptively aggregate the learned features.