2601.18570v1.pdf

{
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "ccddd4f9b139df690b915ca3559262a103705c769cfb62b6c7cc3b94d4730f90",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.18570v1.pdf",
      "size": 1540927
    },
    "source": {
      "execution_id": "933de03f-50f1-441a-a455-88383d0fabe9",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "creation_date": "2026-01-27T02:54:25Z",
      "keywords": [
        "recommendation",
        "federated learning",
        "residual quantization"
      ],
      "modified_date": "2026-01-27T02:54:25Z",
      "page_count": 11,
      "producer": "pikepdf 8.15.1",
      "subject": "-  Information systems  -\u003e  Recommender systems.-  Security and privacy  -\u003e  Privacy protections.",
      "title": "Feature-Indexed Federated Recommendation with Residual-Quantized Codebooks",
      "version": "1.7"
    },
    "source": {
      "execution_id": "511d426f-19a4-4957-b72b-631690c4987a",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}