FL-Sailer combines adaptive leverage score sampling and an invariant VAE in a federated setup to enable privacy-preserving analysis of high-dimensional sparse scATAC-seq data, with a convergence bound and reported outperformance of centralized baselines.
D End-to-End Convergence Analysis of FL-Sailer in High-Dimensional Spaces This appendix provides the detailed proofs and technical verifications referenced in Section 5
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FL-Sailer: Efficient and Privacy-Preserving Federated Learning for Scalable Single-Cell Epigenetic Data Analysis via Adaptive Sampling
FL-Sailer combines adaptive leverage score sampling and an invariant VAE in a federated setup to enable privacy-preserving analysis of high-dimensional sparse scATAC-seq data, with a convergence bound and reported outperformance of centralized baselines.