Cooperative Learning with Penalized Linear Mixed-Effects Models for High-Dimensional Clustered Multiview Data
This work proposes Cooperative Learning with a penalized Linear Mixed Model (CL-pLMM) for high-dimensional multiview data with a clustered structure and shows that its objective function can be represented as a penalized linear mixed-effects model applied to augmented data, allowing existing estimation procedures to be...