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arXiv · 2610.18003

FleetGuard:Identity-Capped Conformal Risk Allocation for Reliable UAV Edge-Cloud Offloading

Junhao Wei·Haochen Li·Yifu Zhao·Yanxiao Li·Dexing Yao·Baili Lu·Ngai Cheong·Sio-Kei Im·Xu Yang·Yapeng Wang
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Abstract

Compromised UAV reporters can poison latency telemetry and attract offloaded tasks to degraded servers. We present FleetGuard, an identity-capped conformal offloader for local, edge, and cloud execution. With equal buffers of m scores and a cap of K compromised identities, a Km rank correction retains one-sided fixed-level coverage without an honest-reporter majority. A deterministic repair scheduler allocates task-specific risk under fleet, capacity, and deadline constraints. Heavy-tailed simulations with eight reporters, four edges, 30 independent seeds, and 20 batches per seed and condition yield 2.08% deadline misses under seven low-score compromised reporters (95% clustered interval: 1.94-2.24%), compared with approximately 9.6% for pooled conformal, reporter-median, and mean rules. FleetGuard saves 22.3% energy over fixed-risk BRC and approaches adaptive exact assignment within 1.1%, with 2.6x lower mean scheduling time.

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Junhao Wei, Haochen Li, Yifu Zhao, Yanxiao Li, Dexing Yao, Baili Lu, Ngai Cheong, Sio-Kei Im, Xu Yang, Yapeng Wang. 2026-10-13. FleetGuard:Identity-Capped Conformal Risk Allocation for Reliable UAV Edge-Cloud Offloading. https://arxiv.org/abs/2610.18003

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