Privacy-preserving federated tensor decomposition of single-cell immune data: recovering multicellular programs across institutions

Tensor decomposition of donor $\times$ cell-type $\times$ gene single-cell data recovers \emph{multicellular programs}: coordinated axes of inter-individual transcriptional variation that span cell types and stratify disease. Yet immune single-cell atlases are increasingly multi-institution, multi-ancestry, and governed, so patient cells often cannot be pooled. We present a federated estimator: each site computes a local program subspace, and a coordinator merges these by stacked SVD under feder

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ethics.ai (22 June 2026), “Privacy-preserving federated tensor decomposition of single-cell immune data: recovering multicellular programs across institutions,” evidence record 685, https://ethics.ai/record/685 (originally published by arXiv).

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