arXiv (All)
open access
Local Differential Privacy for Molecular Communication Networks
Molecular communication (MC) enables information exchange in nanoscale sensor networks operating in biological environments, yet privacy remains largely unaddressed. We integrate local differential privacy (LDP) into diffusion-based MC by privatizing each user's measurement at the transmitter and co
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
- Active subspace learning for coarse-grained molecular dynamics#485333
- trasgoDP: An Open Source Framework for Releasing Noised Tabular Microdata under Local Differential Privacy#411172
- DP-FlogTinyLLM: Differentially private federated log anomaly detection using Tiny LLMs#123986
- Privacy-Preserving Localization via Transmit Antenna Selection and Permutation#662240
- Privacy-Preserving Localization via Transmit Antenna Selection and Permutation#661190
Record · ID 1467093
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