<p class="jove_content">To address cumulative subtask delays and multi-user resource competition in smart education platforms, a MEC- and MADDPG-based multi-delay multi-agent task offloading scheme was proposed and validated through simulations and scenario tests. The completion time was only 16.2 s for 50 tasks, while the completion rate remained 96.8% for 60 users.</p>

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Multi-Latency Multi-Agent Task Offloading Strategy for Smart Education Platforms Based on Edge Computing

In smart education platforms, large-scale real-time interactive tasks usually involve complex subtask dependencies. The transmission, computation, and ...

Institution - Northeast normal university

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