PPML-Omics: a Privacy-Preserving federated Machine Learning method protects patients' privacy in omic data
Juexiao Zhou, Siyuan Chen, Yulian Wu, Haoyang Li, Bin Zhang, Longxi Zhou, Yan Wei Hu, Zihang Xiang, Zhongxiao Li, Ningning Chen, Wenkai Han, Chencheng Xu, Di Wang, Xin Gao
PPML-Omics is a privacy-preserving federated learning method that balances privacy protection and model utility across three omic data tasks.
Science Advances · Jan 31, 2024Peer-reviewedBioinformatics