IEEE

Dynamic Scheduling With Task Migration in Cloud Manufacturing Using Hybrid Federated Deep Reinforcement Learning and Graph Neural Network Model

Abstract: Cloud Manufacturing (CMfg) serves as a pivotal platform, seamlessly integrating enterprise resources and consumer demands, thus playing a central role in task scheduling and service ...
IEEE

Privacy-Preserving Task Offloading in Vehicular Edge Computing Using Federated Multi-Agent Reinforcement Learning

Abstract: Vehicular edge computing (VEC) systems face critical challenges in balancing computational efficiency, task delay, and data privacy. This paper presents a Federated Multi-Agent Deep ...