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Autonomous Task Offloading of Vehicular Edge Computing with Parallel Computation Queues
Sungho Cho, Sung Il Choi, Seung Hyun Oh, Ian P. Roberts, Sang Hyun Lee
https://arxiv.org/abs/2509.03935

Autonomous Task Offloading of Vehicular Edge Computing with Parallel Computation Queues
This work considers a parallel task execution strategy in vehicular edge computing (VEC) networks, where edge servers are deployed along the roadside to process offloaded computational tasks of vehicular users. To minimize the overall waiting delay among vehicular users, a novel task offloading solution is implemented based on the network cooperation balancing resource under-utilization and load congestion. Dual evaluation through theoretical and numerical ways shows that the developed solution…

Quantum Machine Learning for Secure Cooperative Multi-Layer Edge AI with Proportional Fairness
Thai T. Vu, John Le
https://arxiv.org/abs/2507.15145 https:/…

Quantum Machine Learning for Secure Cooperative Multi-Layer Edge AI with Proportional Fairness
This paper proposes a communication-efficient, event-triggered inference framework for cooperative edge AI systems comprising multiple user devices and edge servers. Building upon dual-threshold early-exit strategies for rare-event detection, the proposed approach extends classical single-device inference to a distributed, multi-device setting while incorporating proportional fairness constraints across users. A joint optimization framework is formulated to maximize classification utility under…