Convergence of edge computing and deep learning: A comprehensive survey
… artificial intelligence, can be integrated into edge computing … 2) Fog Computing: One of the
highlights of fog computing is that … hardware of edge intelligence, ie, customized AI chips and …
highlights of fog computing is that … hardware of edge intelligence, ie, customized AI chips and …
Edge intelligence: The confluence of edge computing and artificial intelligence
… edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge
(artificial intelligence on edge). … To solve the problem with a fast convergence rate, this article …
(artificial intelligence on edge). … To solve the problem with a fast convergence rate, this article …
A survey on the convergence of edge computing and AI for UAVs: Opportunities and challenges
… of artificial intelligence (AI), edge computing, and edge AI. … defines edge AI as “the capability
to enable edges to execute AI … of edge AI definitions, it can be useful to categorize edge AI …
to enable edges to execute AI … of edge AI definitions, it can be useful to categorize edge AI …
Edge intelligence: The convergence of humans, things, and ai
… edge computing and AI in the cyberhuman evolution, and identify challenges that edge
computing … will be complemented by AI operationalization to enable seamless end-to-end edge …
computing … will be complemented by AI operationalization to enable seamless end-to-end edge …
Edge intelligence: Paving the last mile of artificial intelligence with edge computing
… edge computing. Due to the superiority and necessity of running AI application on the edge,
edge AI … to federated learning in edge computing with provable convergence. To implement …
edge AI … to federated learning in edge computing with provable convergence. To implement …
Edge computing with artificial intelligence: A machine learning perspective
… promoted the development of artificial intelligence (AI) to a great … also has the advantage
of fast convergence [97]. This is … tuned neural network in fog computing environment. J. Med. …
of fast convergence [97]. This is … tuned neural network in fog computing environment. J. Med. …
Understanding edge computing: Engineering evolution with artificial intelligence
… popular edge computing and AI-based edge computing have … with technological convergence
of edge computing have been … with edge computing concepts such as fog computing and …
of edge computing have been … with edge computing concepts such as fog computing and …
At the confluence of artificial intelligence and edge computing in iot-based applications: A review and new perspectives
… machine learning model to address the high-speed real-time requirements of fog computing
and generate good and fast edge intelligence, … to AI and edge computing convergence. We …
and generate good and fast edge intelligence, … to AI and edge computing convergence. We …
Mobile edge computing, metaverse, 6G wireless communications, artificial intelligence, and blockchain: Survey and their convergence
… computing to distributed fog computing and mobile edge … elaborated on mobile edge
computing, how AI and blockchain can … convergence to have AI and blockchain-aided mobile …
computing, how AI and blockchain can … convergence to have AI and blockchain-aided mobile …
A survey of recent advances in edge-computing-powered artificial intelligence of things
Z Chang, S Liu, X Xiong, Z Cai… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
… This article investigates convergence of AI and the IoT from the perspective of end-… fog nodes
[54]. Unlike cloudlets and MEC, fog computing is focused more on the IoT and the end side. …
[54]. Unlike cloudlets and MEC, fog computing is focused more on the IoT and the end side. …