Local Differential Privacy with Correlated Noise Achieves Central-DP Optimal Cost

2026-06-01T08:51:48Z6a64b6d30ed8463aa8869f6381fd2e43193e050f7e4ca82124c67e7500fda883
1-bit-communication-banditsISACMiLACanalog-computingbeamformingdifferential-privacydiffusion-modelsdp-linear-regressionfast-sketchinginformation-theorylocal-dplocally-repairable-codesphysical-layer-securityprivacy-mechanismsrateless-polar-codesreconfigurable-intelligent-surfacesatellite-communicationstensor-estimation

What happened

Collection of new arXiv submissions (info theory / communications / ML) covering advances in differential privacy, coding and beamforming, sensing and communication trade-offs, and learning/estimation theory. Key security-relevant items: (1) a local (pure) DP mechanism using correlated noise that matches centralized-DP estimation cost (may change local-privacy deployment tradeoffs); (2) a Fast Mixing DP sketching mechanism and a fast DP OLS algorithm (practical DP inference with improved runtime); (3) a distributionally-robust physical-layer secrecy formulation for multi-beam satellite links,́

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_math_it
Record identifier
6a64b6d30ed8463aa8869f6381fd2e43193e050f7e4ca82124c67e7500fda883
Enrichment time
2026-06-01T08:51:48Z
AI-assisted enrichment
Yes

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