Tag: row

Personalized federated learning, Row-wise fusion regularization, Multivariate modeling, Sparse estimation arXiv:2510.14413v1 Announce Type: new Abstract: We study personalized federated learning for multivariate responses where client models are heterogeneous yet share variable-level structure. Existing entry-wise penalties ignore cross-response dependence, while matrix-wise fusion over-couples clients. We propose a Sparse Row-wise Fusion (SROF) regularizer that clusters row vectors…