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Next-generation edge intelligence is anticipated to benefit various applications via offloading techniques.
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A. Y. Ding et al. , “Roadmap for edge ai: A dagstuhl perspective,” pp. 28–33, 2022
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Y. Tian et al. , “Fedbert: When federated learning meets pre-training,” ACM Transactions on Intelligent Systems and Technology (TIST) , vol. 13, no. 4, pp. 1–26, 2022
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K. Singhal et al. , “Large language models encode clinical knowledge,” Nature , pp. 1–9, 2023
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Closest in time.
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2023
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F. Jiang et al. , “AI driven heterogeneous MEC system with UAV assistance for dynamic environment: Challenges and solutions,” IEEE Network , vol. 35, no. 1, pp. 400–408, 2021
2021
Cited alongside, same era.