1 code implementation • 20 Aug 2024 • Huifa Li, Jie Fu, XinPeng Ling, Zhiyu Sun, Kuncan Wang, Zhili Chen
The swift advancement of single-cell RNA sequencing (scRNA-seq) technologies enables the investigation of cellular-level tissue heterogeneity.
no code implementations • 14 May 2024 • Jie Fu, Yuan Hong, XinPeng Ling, Leixia Wang, Xun Ran, Zhiyu Sun, Wendy Hui Wang, Zhili Chen, Yang Cao
Our work presents a systematic overview of the differentially private federated learning.
1 code implementation • 6 Nov 2023 • Huifa Li, Jie Fu, Zhili Chen, Xiaomin Yang, Haitao Liu, XinPeng Ling
Single-cell RNA sequencing (scRNA-seq) is important to transcriptomic analysis of gene expression.
1 code implementation • 21 Aug 2023 • XinPeng Ling, Jie Fu, Kuncan Wang, Haitao Liu, Zhili Chen
Federated Learning (FL) is a distributed machine learning technique that allows model training among multiple devices or organizations by sharing training parameters instead of raw data.
no code implementations • 14 Nov 2022 • Jie Fu, Zhili Chen, XinPeng Ling
Differentially private stochastic gradient descent (DPSGD) is the most popular training method with differential privacy in image recognition.