pith:HFWLFTPA
Trade-off Functions for DP-SGD with Subsampling based on Random Shuffling: Tight Upper and Lower Bounds
DP-SGD with random shuffling subsampling yields tight closed-form trade-off function bounds that converge to the ideal 1-a diagonal under suitable epoch scaling.
arxiv:2605.06259 v2 · 2026-05-07 · cs.LG · cs.CR
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Claims
Our analysis covers the regime σ ≥ √(3/ln M) ... yielding transparent and interpretable closed-form bounds. ... if E=c_M²M with c_M→0, then the E-fold composed trade-off function satisfies f⊗E(a)→1-a uniformly in a∈[0,1] with δ having only an O(√E) dependency.
The central claims rest on the regime restriction σ ≥ √(3/ln M) together with the applicability of the Berry-Esseen theorem to the relevant sum of bounded random variables arising from the shuffling process; if this concentration regime does not hold or the approximation error exceeds the claimed tightness, the explicit bounds and the uniform convergence to the diagonal fail.
Tight closed-form bounds via Berry-Esseen show DP-SGD with random shuffling achieves near-ideal privacy (trade-off close to 1-a) for σ ≥ √(3/ln M) and large M, with δ linear in epochs restricting E to O(√M) and an asymptotic O(√E) δ under E = c_M²M.
Receipt and verification
| First computed | 2026-05-26T02:04:12.267396Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
396cb2cde008dfe156f9fc287f4074b63128e894e3ea7e2dccd435f4ba407d6e
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/HFWLFTPABDP6CVXZ7QUH6QDUWY \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
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Canonical record JSON
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