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AI at the Edge: Cloud-Edge Synergy

International Journal of Innovative Science and Research Technology
The new paradigm of AI at the Edge and its synergy with Cloud Computing to combine the advantages of local data processing and analysis with the scalability and resources offered by cloud systems is explained in this paper. AI capabilities deployed at the Edge enable real-time decision-making, reduced latency, and improved efficiency across various ...
openaire   +1 more source

Sustainable AI Processing at the Edge

IEEE Micro, 2023
Sébastien Ollivier   +9 more
openaire   +1 more source

Edge AI

2020
Xiaofei Wang 0001   +5 more
openaire   +1 more source

Security and Privacy on 6G Network Edge: A Survey

IEEE Communications Surveys and Tutorials, 2023
Bomin Mao, Jiajia Liu, Yingying Wu
exaly  

Resource Scheduling in Edge Computing: A Survey

IEEE Communications Surveys and Tutorials, 2021
Quyuan Luo, Shihong Hu, Changle Li
exaly  

Federated Learning in Mobile Edge Networks: A Comprehensive Survey

IEEE Communications Surveys and Tutorials, 2020
Wei Yang Bryan Lim   +2 more
exaly  

Distributed Artificial Intelligence Empowered by End-Edge-Cloud Computing: A Survey

IEEE Communications Surveys and Tutorials, 2023
Sijing Duan, Dan Wang, Ju Ren
exaly  

A vision for edge AI

Edge Artificial Intelligence is progressively pervading all aspects of our life. However, to perform complex tasks, a massive amount of matrix multiplications needs to be computed. At the same time, the available hardware resources for computation are highly limited. The pressing need for efficiency serves as the motivation for this dissertation.
openaire   +1 more source

Edge Computing in Industrial Internet of Things: Architecture, Advances and Challenges

IEEE Communications Surveys and Tutorials, 2020
Tie Qiu, Jiancheng Chi, Xiaobo Zhou
exaly  

Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

IEEE Communications Surveys and Tutorials, 2020
Xiaofei Wang   +2 more
exaly  

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