{
  "abstract": "This paper investigates over-the-air federated learning (AirFL) in wireless systems where the access point is equipped with a multi-waveguide pinching antenna system (PASS). We adopt the widely studied learning-oriented AirFL formulation, which seeks to maximize the number of selected devices while keeping the aggregation distortion below a prescribed threshold. The resulting joint optimization of device selection, receive beamforming, and pinching-antenna placement is highly nonconvex due to the intricate coupling among these system variables. To address this challenge, we develop AirPASS, an alternating optimization framework with two main components: a homotopy-Riemannian margin-consolidation method for device selection and receive beamforming under a fixed PASS configuration, and a homotopy-assisted geometry optimization method for updating the pinching-antenna positions under fixed selected devices and beamformer.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2607.06768",
  "author_total": 2,
  "authors": [
    {
      "name": "Seyed Mohammad Azimi-Abarghouyi"
    },
    {
      "name": "Christopher G. Brinton"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/1jxcbvwndx8da.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2607.06768",
  "fulltext_url": null,
  "id": "1jxcbvwndx8da",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2607.06768",
  "language": null,
  "licence": "LicenseRef-arXiv-nonexclusive-1.0",
  "licence_label": "arXiv licence",
  "licence_source": "article",
  "licence_url": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "cs.AI"
    ],
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      "arxiv",
      "cs.IT"
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      "arxiv",
      "cs.LG"
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      "arxiv",
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  "openalex": "W7167842302",
  "pdf_url": "https://arxiv.org/pdf/2607.06768",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-21",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/1jxcbvwndx8da.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:34:38Z",
      "native_id": "2607.06768",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2607.06768"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "arxiv:math.IT",
      "subfield": "general"
    }
  ],
  "title": "AirPASS: Over-the-Air Federated Learning via Pinching Antenna Systems",
  "title_text": "AirPASS: Over-the-Air Federated Learning via Pinching Antenna Systems",
  "type": "preprint",
  "updated_at": "2026-10-30T12:34:38Z",
  "url": "https://research.draconitic.com/paper/1jxcbvwndx8da",
  "venue": "arXiv",
  "versions": []
}