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Found 3 papers, 3 papers with code
Single-cell Curriculum Learning-based Deep Graph Embedding Clustering
The swift advancement of single-cell RNA sequencing (scRNA-seq) technologies enables the investigation of cellular-level tissue heterogeneity.
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release
Motivated by this, this paper proposes DPSUR, a Differentially Private training framework based on Selective Updates and Release, where the gradient from each iteration is evaluated based on a validation test, and only those updates leading to convergence are applied to the model.
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.
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