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In this paper, we study an energy-efficient multi- UAV-assisted multi-access edge computing (MEC) system in which unmanned aerial vehicles (UAVs) equipped with MEC servers offer computing services to the mobile devices. In particular, the mobile devices offload a portion of their computationintensive and delay-sensitive tasks to the UAVs to minimize local computing energy consumption. However, the coupling constraints of limited energy budget at UAVs and task completion deadlines make it difficult to determine device association and the amount of task to be offloaded. Moreover, the amount of computing resources assigned to the mobile devices by each UAV might vary according to the number of associated users and the amount of task offloaded from them. Therefore, in this work, we formulate a joint device association, task assignment and computing resource allocation problem to minimize the energy …