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Updated: Feb 14, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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通过多代理深度增强学习进行分散计算卸载战略,用于多访问边缘计算系统

Emmanuella Adu1, Yeongmuk Lee2, Jihwan Moon3

  • 1IDEACONCERT Co., Ltd., Seongnam 13449, Republic of Korea.

Sensors (Basel, Switzerland)
|February 13, 2026
PubMed
概括

本研究介绍了一种分散的多代理深度强化学习 (MADRL) 策略,用于多访问边缘计算 (MEC). 它通过使边缘设备能够独立学习最佳卸载策略来最大限度地降低任务完成延迟,从而减少整体延迟.

关键词:
深度强化学习的学习.没有资助的免费访问.多访问边缘计算边缘计算卸载 卸载 卸载 卸载任务完成 延迟 任务完成 延迟

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