AI4health winter school - Practical Session on Handling heterogeneity in the analysis of biomedical information
Handling heterogeneity in the analysis of biomedical information
Multivariate models for the analysis of heterogeneous information
Introduction
Random data generation
Into the guts of latent variable models
Multi-channel Variational Autoencoder
Application to (pseudo-) neurological data
Federated Learning
Introduction
FedAVG and FedProx
Federated VAEs
Federated Multi-channel VAEs on MNIST
Federated Multi-channel VAEs on biomedical data
About
Contributors
repository
Index