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DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for Single-cell Clustering
Recently, deep learning has facilitated the analysis of high-dimensional single-cell data.
ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations
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.
SA-DPSGD: Differentially Private Stochastic Gradient Descent based on Simulated Annealing
Differentially private stochastic gradient descent (DPSGD) is the most popular training method with differential privacy in image recognition.
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