Search Results for author:
Found 2 papers, 2 papers with code
How to Combine Variational Bayesian Networks in Federated Learning
Federated Learning enables multiple data centers to train a central model collaboratively without exposing any confidential data.
Uncertainty-Based Dynamic Graph Neighborhoods For Medical Segmentation
However, there are two drawbacks of the approach: most of the edges in the graph are assigned randomly and the GCN is trained independently from the segmentation network.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
