{
  "annotation_id": "5877a800-5195-40bc-a0b1-1f2377d0d6d6",
  "date_created": "2026-02-17T05:53:15.040000Z",
  "date_modified": "2026-02-17T05:53:15.040000Z",
  "file_hash": "109c77daf875423c280bf9a0a524f8e922da4877f2a4bde03f7bb7a54d0dd8b3",
  "private": false,
  "record": {
    "abstract": "This paper investigates privacy-preserving distributed cooperative control for multi-agent systems within the framework of differential privacy. In cooperative control, communication noise is inevitable and is usually regarded as a disturbance that impairs coordination. This work revisits such noise as a potential privacy-enhancing factor. A linear quadratic regulator (LQR)-based framework is proposed for agents communicating over noisy channels, \\textcolor{black}{where the noise variance depends on the relative state differences between neighbouring agents.} The resulting controller achieves formation while protecting the reference signals from inference attacks. It is analytically proven that the inherent communication noise can guarantee bounded $(\\epsilon,\\delta)$-differential privacy without adding dedicated privacy noise, while the \\textcolor{black}{system cooperative tracking error} remains bounded and convergent in both the mean-square and almost-sure sense.",
    "arxiv_id": "2601.07997",
    "authors": [
      "Yuwen Ma",
      "Sarah K. Spurgeon",
      "Tao Li",
      "Boli Chen"
    ],
    "categories": [
      "eess.SY",
      "cs.SY"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "title": "Can Inherent Communication Noise Guarantee Privacy in Distributed Cooperative Control ?",
    "url": "https://arxiv.org/abs/2601.07997",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "37a36067-32ec-4386-89bf-361322bb5961",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}