arXiv (OAI Expanded)
open access
Exact Asymptotic Efficiency under zCDP: Diameter-Constrained Information Geometry
Protecting individual privacy has become a central and urgent concern in modern data analysis, given the vast quantities of data now generated and processed. In this paper, we develop a systematic theory of exact asymptotic efficiency for regular parametric estimation under central zero-concentrated
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Obscurity and the Fallacy of No Privacy in Public Information#309785
- Small-Bias Quantum Approximate Counting via the Multiplicative Adversary Method#996624
- Exponential Correlation Bounds for Polynomials#1076495
- Obscurity and Privacy#169569
- Data Privacy and Temptation#400517
Record · ID 1123310
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive