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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.LG2026

DeFRiS: Silo-Cooperative IoT Applications Scheduling via Decentralized Federated Reinforcement Learning

Zhiyu Wang, Mohammad Goudarzi, Mingming Gong +1

Next-generation IoT applications increasingly span across autonomous administrative entities, necessitating silo-cooperative scheduling to leverage diverse computational resources…