A DQN scheduler with edge-node state aggregation and a collaboration graph is claimed to reduce IoT energy consumption and latency, but the edge-collaboration contribution is never ablated.
Deep reinforcement learning-based workload scheduling for edge computing,
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State-Aware IoT Scheduling Using Deep Q-Networks and Edge-Based Coordination
A DQN scheduler with edge-node state aggregation and a collaboration graph is claimed to reduce IoT energy consumption and latency, but the edge-collaboration contribution is never ablated.