research
∙
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 ...
share
research
∙
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...
research
∙
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...
research
∙
02/25/2022
