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cs.LG2024
Self-Improving Interference Management Based on Deep Learning With Uncertainty Quantification
Hyun-Suk Lee, Do-Yup Kim, Kyungsik Min
This paper presents a groundbreaking self-improving interference management framework tailored for wireless communications, integrating deep learning with uncertainty quantificatio…
cs.LG2023
Collaborative Policy Learning for Dynamic Scheduling Tasks in Cloud-Edge-Terminal IoT Networks Using Federated Reinforcement Learning
Do-Yup Kim, Da-Eun Lee, Ji-Wan Kim +1
In this paper, we examine cloud-edge-terminal IoT networks, where edges undertake a range of typical dynamic scheduling tasks. In these IoT networks, a central policy for each task…