{"ID":2868311,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2509.16504","arxiv_id":"2509.16504","title":"sat-QFL: Secure Quantum Federated Learning for Low Orbit Satellites","abstract":"Low Earth orbit (LEO) constellations violate core assumptions of standard (quantum) federated learning (FL): client-server connectivity is intermittent, participation is time varying, and latency budgets are strict. We present sat-QFL, a hierarchical, access aware quantum federated learning (QFL) framework that partitions satellites into primary (ground connected) and secondary as inter-satellite links (ISL-only) roles, and schedules sequential, simultaneous, or asynchronous edge training aligned with visibility windows. For quantum-resilient confidentiality and integrity, sat-QFL integrates quantum key distribution (QKD) based key establishment with authenticated encryption for model exchange; we also assess teleportation as a feasibility primitive for quantum state transfer. Using derived constellation traces and QFL workloads (Qiskit), we show that sat-QFL sustains robust aggregation under varying participation and reduces communication bottlenecks with modest security overhead. Our implementation and results are available at https://github.com/s222416822/satQFL.","short_abstract":"Low Earth orbit (LEO) constellations violate core assumptions of standard (quantum) federated learning (FL): client-server connectivity is intermittent, participation is time varying, and latency budgets are strict. We present sat-QFL, a hierarchical, access aware quantum federated learning (QFL) framework that partiti...","url_abs":"https://arxiv.org/abs/2509.16504","url_pdf":"https://arxiv.org/pdf/2509.16504v1","authors":"[\"Dev Gurung\",\"Shiva Raj Pokhrel\"]","published":"2025-09-20T02:45:41Z","proceeding":"cs.DC","tasks":"[\"cs.DC\"]","methods":"[]","has_code":false,"code_links":[{"ID":609569,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2868311,"paper_url":"https://arxiv.org/abs/2509.16504","paper_title":"sat-QFL: Secure Quantum Federated Learning for Low Orbit Satellites","repo_url":"https://github.com/s222416822/satQFL","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}