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20232025
most citedTask Placement and Resource Allocation for Edge Machine Learning: A GNN-based Multi-Agent Reinforcement Learning Paradigm

73 citations · 106 across the 9 of their papers we have counts for

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2 papers · 1 filter

cs.NI2023

A3D: Adaptive, Accurate, and Autonomous Navigation for Edge-Assisted Drones

Liekang Zeng, Haowei Chen, Daipeng Feng +2

Accurate navigation is of paramount importance to ensure flight safety and efficiency for autonomous drones. Recent research starts to use Deep Neural Networks to enhance drone nav…

cs.NI2023★ 1 cited

HiFlash: Communication-Efficient Hierarchical Federated Learning with Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association

Qiong Wu, Xu Chen, Tao Ouyang +4

Federated learning (FL) is a promising paradigm that enables collaboratively learning a shared model across massive clients while keeping the training data locally. However, for ma…