Federated Clouds for Efficient Multitasking in Distributed Artificial Intelligence Applications

Author:

Li Yuejin1ORCID,Hwang Kai1ORCID,Shuai Kefan1,Li Zhengdao1,Zomaya Albert2ORCID

Affiliation:

1. Chinese University of Hong Kong, Shenzhen, China

2. TheUniversity of Sydney, Sydney, Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Software

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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2. Efficiency in the Cloud: A Deep Dive into the Integration of Artificial Intelligence for Enhanced Performance and Scalability;2024 3rd International Conference for Innovation in Technology (INOCON);2024-03-01

3. IoTSL: Toward Efficient Distributed Learning for Resource-Constrained Internet of Things;IEEE Internet of Things Journal;2023-06-01

4. LEO Satellite Constellation for Global-Scale Remote Sensing With On-Orbit Cloud AI Computing;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023

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