CAST: Cluster-Driven Truthful Crowdfunding Mechanism for Shared AI Service Deployment

The rapid growth of AI models has substantially increased the cost of deploying services on servers. Fortunately, their generality enables them to serve multiple clients with similar tasks, presenting opportunities to optimize service deployment and maximize social utility by service sharing. Existi...

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Vydané v:	IEEE transactions on services computing s. 1 - 14
Hlavní autori:	Liu, Hongze, Wang, Mengru, Liu, Junzhe, Yuan, Shijing, Lou, Jiong, Wu, Chentao, Li, Jie
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 2025
Predmet:	Artificial intelligence Auction Theory Biological system modeling Cluster Algorithm Clustering algorithms Computational modeling Costs Federated learning Mechanism Design Privacy Scalability Servers Service Deployment Virtual machines
ISSN:	1939-1374, 2372-0204
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