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

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

1 February 2023

Xu Chen

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

5 / 5 papers shown

Title
Power Allocation for Delay Optimization in Device-to-Device Networks: A Graph Reinforcement Learning Approach Hao Fang Kai Huang Hao Ye Chongtao Guo Le Liang Xiao Li Shi Jin 4 0 0 19 May 2025
Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Yan Gu Zhaoze Liu Shuhong Dai Cong Liu Ying Wang Shen Wang Georgios Theodoropoulos Long Cheng 38 0 0 03 Jan 2025
A Framework for dynamically meeting performance objectives on a service mesh Forough Shahab Samani Rolf Stadler 25 3 0 25 Jun 2023
Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision Wei Gao Qi Hu Zhisheng Ye Peng Sun Xiaolin Wang Yingwei Luo Tianwei Zhang Yonggang Wen 86 26 0 24 May 2022
Tailored Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud System Yiwen Han Shihao Shen Xiaofei Wang Shiqiang Wang Victor C. M. Leung 37 61 0 17 Jan 2021