DP-KFC approximates the Fisher Information Matrix for KFAC preconditioning via synthetic noise probes and modality frequency statistics, matching private-data performance without consuming privacy budget or introducing distribution shift.
For each synthetic batch, we sample a random active lengthL act ∼ U(L min, Lmax)
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DP-KFC: Data-Free Preconditioning for Privacy-Preserving Deep Learning
DP-KFC approximates the Fisher Information Matrix for KFAC preconditioning via synthetic noise probes and modality frequency statistics, matching private-data performance without consuming privacy budget or introducing distribution shift.