arxiv
PublishedMay 6, 2026 at 4:00 AM
—neutral
FIBER: A Differentially Private Optimizer with Filter-Aware Innovation Bias Correction
Publisher summary· verbatim
arXiv:2605.03425v1 Announce Type: new Abstract: Differentially private (DP) training protects individual examples by adding noise to gradients, but the injected noise interacts nontrivially with adaptive optimizers. Recent DP methods temporally filter privatized gradients to reduce variance; however
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Originally published on arxiv ↗