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Smart Adaptive Computing Across the Continuum: LLMs in IoT-Edge-Cloud Resource Management

Vaccarella, Antonino et al.
arXiv (All) · Papers
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and-cluster-computingartificial-intelligencedistributedmultiagent-systemsparallel
Managing resources across IoT, edge, and cloud layers calls for continuous, context-aware decisions under constraints that rarely stay fixed. Deep reinforcement learning (DRL) handles this class of problems well, and large language models (LLMs) are increasingly used to augment DRL pipelines, yet th
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