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07/13/2023
Multi-view self-supervised learning for multivariate variable-channel time series
Labeling of multivariate biomedical time series data is a laborious and ...
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06/23/2023
Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity
In federated learning, data heterogeneity is a critical challenge. A str...
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12/05/2022
Partial Variance Reduction improves Non-Convex Federated learning on heterogeneous data
Data heterogeneity across clients is a key challenge in federated learni...
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02/25/2022