arxiv
PublishedOctober 5, 2026 at 4:00 AM
—neutral
Geometric Data Perturbation with Noisy-Anchor Alignment for Privacy-Preserving Collaborative Learning
Publisher summary· verbatim
arXiv:2608.18749v3 Announce Type: replace Abstract: Geometric data perturbation enables one-shot representation sharing for privacy-preserving collaborative learning: each participant applies a secret distance-preserving transformation to its private data and uploads the resulting representation to
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Originally published on arxiv ↗