… computing architecture, and then studied a deep reinforcement learning based approach to
learn the optimal offloading … the task offloading and resource allocation for Power IoT devices …

… of task offloading and computational resource allocation faces … propose a learning-based
queue-aware task offloading and … Conventional learning-based approaches cannot be directly …

… Shen, “Space/aerial-assisted computing offloading for iot applications: A learning-based
approach,” IEEE Journal on Selected Areas in Communications, vol. 37, no. 5, pp. …

… a learning-based method to find a near-optimal offloading … the average response time of
computing missions. This work … an RL-based offloading scheme for an IoT device with energy …

… leaRning-based secure and low-latency electromAgnetic interferenCe-awarE computation
offloading algo… the joint optimization of task offloading and computational resource allocation. …

… IoT task offloading under the SAGIN scenario where multiple IoT devices cooperatively use
computing … Applications: A Learning-Based Approach,” in IEEE Journal on Selected Areas in …

… a deep reinforcement learning based algorithm to solve … computation resources and protect
the privacy of the IoT devices, we introduce a federated learning based offloading method to …

… 6G IoT system. Then we propose a deep-learningbased computation offloading approach, …
Reference [10] studies SAGIN-served IoT networks and discusses space/aerial-assisted …

… computing (MEC) servers in the air layer, or on cloud servers in the ground. In this article, we
jointly optimize the computation offloading decisions of tasks and computing … of IoT devices …

… of computation-intensive IoT applications and limited communication and computation resources,
we formulate a task offloading … learningbased approach to obtain the optimal offloading …