Seokhyun Chung

Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes

This paper explores a federated learning approach that automatically selects the number of latent processes in multi-output Gaussian processes (MGPs). The MGP has seen great success as a transfer learning tool when data is generated from multiple sources/units/entities. A common approach in MGPs to transfer knowledge a...