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20232026
most citedDeep Reinforcement Learning-based Scheduling for Optimizing System Load and Response Time in Edge and Fog Computing Environments

2 citations · 2 across the 3 of their papers we have counts for

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cs.DC2025

A Knowledge Distillation-empowered Adaptive Federated Reinforcement Learning Framework for Multi-Domain IoT Applications Scheduling

Zhiyu Wang, Mohammad Goudarzi, Mingming Gong +1

The rapid proliferation of Internet of Things (IoT) applications across heterogeneous Cloud-Edge-IoT environments presents significant challenges in distributed scheduling optimiza…