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.
This confirms that the algorithm converges to a stationary point despite the injected privacy noise
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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.