most citedTask Placement and Resource Allocation for Edge Machine Learning: A GNN-based Multi-Agent Reinforcement Learning Paradigm

73 citations · 73 across the 1 of their papers we have counts for

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1 paper

cs.MA2023★ 73 cited

Task Placement and Resource Allocation for Edge Machine Learning: A GNN-based Multi-Agent Reinforcement Learning Paradigm

Yihong Li, Xiaoxi Zhang, Tianyu Zeng +4

Machine learning (ML) tasks are one of the major workloads in today's edge computing networks. Existing edge-cloud schedulers allocate the requested amounts of resources to each ta…