AI RESEARCH
FPLIER: Federated Pathway-Level Information Extractor
arXiv CS.LG
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ArXi:2605.29587v1 Announce Type: cross In transcriptomics, gene-set-aware factorization methods such as the Pathway Level Information Extractor (PLIER) are most effective when trained on large, heterogeneous expression compendia. Yet, many clinically relevant cohorts cannot be pooled into a single dataset due to privacy and governance constraints. We present FPLIER, a federated extension of PLIER that enables distributed