Enhancing AI-Generated Content Efficiency Through Adaptive Multi-Edge Collaboration

The Artificial Intelligence-Generated Content (AIGC) technique has gained significant popularity in creating diverse content. However, the current deployment of AIGC services in a centralized framework leads to high response times. To address this issue, we propose the integration of collaborative M...

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Bibliographic Details

Published in:	Proceedings of the International Conference on Distributed Computing Systems pp. 960 - 970
Main Authors:	Xu, Changfu, Guo, Jianxiong, Zeng, Jiandian, Meng, Shengguang, Chu, Xiaowen, Cao, Jiannong, Wang, Tian
Format:	Conference Proceeding
Language:	English
Published:	IEEE 23.07.2024
Subjects:	Adaptive multi-server offloading AIGC Approximation algorithms Collaboration Collaborative edge computing Deep Q-Networks Delays Multi-access edge computing Performance analysis Resource management Time factors Workload allocation
ISSN:	2575-8411
Online Access:	Get full text
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