[HTML][HTML] Edge AI: a survey
Artificial Intelligence (AI) at the edge is the utilization of AI in real-world devices. Edge AI
refers to the practice of doing AI computations near the users at the network's edge, instead …
refers to the practice of doing AI computations near the users at the network's edge, instead …
Communication-efficient edge AI: Algorithms and systems
Artificial intelligence (AI) has achieved remarkable breakthroughs in a wide range of fields,
ranging from speech processing, image classification to drug discovery. This is driven by the …
ranging from speech processing, image classification to drug discovery. This is driven by the …
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
The Internet of Things (IoT) has created a ubiquitously connected world powered by a
multitude of wired and wireless sensors generating a variety of heterogeneous data over …
multitude of wired and wireless sensors generating a variety of heterogeneous data over …
Distredge: Speeding up convolutional neural network inference on distributed edge devices
As the number of edge devices with computing resources (eg, embedded GPUs, mobile
phones, and laptops) in-creases, recent studies demonstrate that it can be beneficial to col …
phones, and laptops) in-creases, recent studies demonstrate that it can be beneficial to col …
Collaborative computation offloading and resource allocation in multi-UAV-assisted IoT networks: A deep reinforcement learning approach
AM Seid, GO Boateng, S Anokye… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
In the fifth-generation (5G) wireless networks, Edge-Internet-of-Things (EIoT) devices are
envisioned to generate huge amounts of data. Due to the limitation of computation capacity …
envisioned to generate huge amounts of data. Due to the limitation of computation capacity …
Sustainable task offloading in UAV networks via multi-agent reinforcement learning
The recent growth of IoT devices, along with edge computing, has revealed many
opportunities for novel applications. Among them, Unmanned Aerial Vehicles (UAVs), which …
opportunities for novel applications. Among them, Unmanned Aerial Vehicles (UAVs), which …
Edgebatch: Towards ai-empowered optimal task batching in intelligent edge systems
Modern Internet of Things (IoT) systems are increasingly leveraging deep neural networks
(DNNs) with the goal of enabling intelligence at the edge of the network. While applying …
(DNNs) with the goal of enabling intelligence at the edge of the network. While applying …
Trust-driven reinforcement selection strategy for federated learning on IoT devices
Federated learning is a distributed machine learning approach that enables a large number
of edge/end devices to perform on-device training for a single machine learning model …
of edge/end devices to perform on-device training for a single machine learning model …
Scalable, Distributed AI Frameworks: Leveraging Cloud Computing for Enhanced Deep Learning Performance and Efficiency
N Mungoli - arXiv preprint arXiv:2304.13738, 2023 - arxiv.org
In recent years, the integration of artificial intelligence (AI) and cloud computing has
emerged as a promising avenue for addressing the growing computational demands of AI …
emerged as a promising avenue for addressing the growing computational demands of AI …
Distributed artificial intelligence empowered by end-edge-cloud computing: A survey
As the computing paradigm shifts from cloud computing to end-edge-cloud computing, it
also supports artificial intelligence evolving from a centralized manner to a distributed one …
also supports artificial intelligence evolving from a centralized manner to a distributed one …