Federated Synergy: Hierarchical Multi-Agent Learning for Sustainable Edge Computing in IIoT

The Industrial Internet of Things (IIoT) presents significant challenges in task offloading, resource allocation, and energy efficiency, necessitating intelligent, scalable, and adaptive solutions. This paper introduces the Hierarchical Multi-Agent Federated Actor-Critic (HMAFAC) algorithm. This nov...

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Auteurs principaux:	S. Benila, K. Devi
Format:	Artigo
Langue:	Inglês
Publié:	IEEE 2025-01-01
Collection:	IEEE Access
Sujets:	Deep Q-Network edge computing federated learning hierarchical multi-agent federated actor-critic (HMAFAC) Industrial Internet of Things task offloading
Accès en ligne:	https://ieeexplore.ieee.org/document/10965621/
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