2601.19745v1.pdf

{
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "18a7b2d36608aff286fdda4dca468ad37a0cf6f2e06dc779a138c0bc75e201ea",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.19745v1.pdf",
      "size": 1887366
    },
    "source": {
      "execution_id": "e8e1b7e6-b65a-4744-9d6d-a49babd352fc",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "creation_date": "2026-01-28T02:11:27Z",
      "keywords": [
        "Federated Graph Learning",
        "Deep Leakage from Gradients"
      ],
      "modified_date": "2026-01-28T02:11:27Z",
      "page_count": 13,
      "producer": "pikepdf 8.15.1",
      "subject": "-  Computing methodologies  -\u003e  Learning paradigms.",
      "title": "GraphDLG: Exploring Deep Leakage from Gradients in Federated Graph Learning",
      "version": "1.7"
    },
    "source": {
      "execution_id": "8969a85c-a3a9-40a6-a329-d53b895844fd",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}