Industrial edge computing task offloading framework driven by multimodal generative adversarial imitation learning

H. K. Huang & Jianxin LI

Enterprise Information Systems2026https://doi.org/10.1080/17517575.2026.2643633article
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https://doi.org/https://doi.org/10.1080/17517575.2026.2643633

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@article{h.2026,
  title        = {{Industrial edge computing task offloading framework driven by multimodal generative adversarial imitation learning}},
  author       = {H. K. Huang & Jianxin LI},
  journal      = {Enterprise Information Systems},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1080/17517575.2026.2643633},
}

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Industrial edge computing task offloading framework driven by multimodal generative adversarial imitation learning

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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