sat-QFL: Secure Quantum Federated Learning for Low Orbit Satellites
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arXiv
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866909798464749568 |
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| author | Gurung, Dev Pokhrel, Shiva Raj |
| author_facet | Gurung, Dev Pokhrel, Shiva Raj |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_16504 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | sat-QFL: Secure Quantum Federated Learning for Low Orbit Satellites Gurung, Dev Pokhrel, Shiva Raj Distributed, Parallel, and Cluster Computing 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. |
| title | sat-QFL: Secure Quantum Federated Learning for Low Orbit Satellites |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2509.16504 |