The Many Faces of Edge Intelligence
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3210584
Abstract: Edge Intelligence (EI) is an emerging computing and communication paradigm that enables Artificial Intelligence (AI) functionality at the network edge. In this article, we highlight EI as an emerging and important field of research, discuss… read more here.
Keywords: intelligence; many faces; faces edge; edge intelligence ... See more keywords
Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3244099
Abstract: An edge intelligence-aided Internet-of-Things (IoT) network has been proposed to accelerate the response of IoT services by deploying edge intelligence near IoT devices. The transmission of data from IoT devices to the edge nodes leads… read more here.
Keywords: allocation; energy; iot devices; edge intelligence ... See more keywords
Federated Data Cleaning: Collaborative and Privacy-Preserving Data Cleaning for Edge Intelligence
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2020.3027980
Abstract: As an important driving factor of emerging Internet-of-Things (IoT) applications, machine learning algorithms are currently facing the challenge of how to “clean” data noise, that is introduced during the training process (e.g., asynchronous execution and… read more here.
Keywords: edge intelligence; data cleaning; federated data; privacy ... See more keywords
Resource Management for Edge Intelligence (EI)-Assisted IoV Using Quantum-Inspired Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3137984
Abstract: Recent developments in the Internet of Vehicles (IoV) enable interconnected vehicles to support ubiquitous services. Various emerging service applications are promising to increase the Quality of Experience (QoE) of users. On-board computation tasks generated by… read more here.
Keywords: intelligence assisted; resource management; intelligence; resource ... See more keywords
Edge Intelligence: Empowering Intelligence to the Edge of Network
Sign Up to like & getrecommendations! Published in 2021 at "Proceedings of the IEEE"
DOI: 10.1109/jproc.2021.3119950
Abstract: Edge intelligence refers to a set of connected systems and devices for data collection, caching, processing, and analysis proximity to where data are captured based on artificial intelligence. Edge intelligence aims at enhancing data processing… read more here.
Keywords: intelligence; edge intelligence; intelligence edge; edge ... See more keywords
Edge Intelligence-Based Moving Target Classification Using Compressed Seismic Measurements and Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3055795
Abstract: Many deep learning methods have been proposed to classify moving targets from seismic signals in recent years. However, the existing deep models are all designed based on the “end-cloud” framework, in which real-time data processing… read more here.
Keywords: classification; convolutional neural; target classification; seismic measurements ... See more keywords
Optimizing Resource Allocation for Joint AI Model Training and Task Inference in Edge Intelligence Systems
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2020.3036852
Abstract: This letter considers an edge intelligence system where multiple end users (EUs) collaboratively train an artificial intelligence (AI) model under the coordination of an edge server (ES) and the ES in return assists the AI… read more here.
Keywords: edge intelligence; model; inference; task inference ... See more keywords
Toward Self-Learning Edge Intelligence in 6G
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Communications Magazine"
DOI: 10.1109/mcom.001.2000388
Abstract: Edge intelligence, also called edge-native artificial intelligence (AI), is an emerging technological framework focusing on seamless integration of AI, communication networks, and mobile edge computing. It has been considered to be one of the key… read more here.
Keywords: edge intelligence; edge; toward self; self learning ... See more keywords
MEET: Mobility-Enhanced Edge inTelligence for Smart and Green 6G Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Communications Magazine"
DOI: 10.1109/mcom.001.2200252
Abstract: Edge intelligence is an emerging paradigm for real-time training and inference at the wireless edge, thus enabling mission-critical applications. Accordingly, base stations (BSs) and edge servers (ESs) need to be densely deployed, leading to huge… read more here.
Keywords: enhanced edge; edge intelligence; intelligence; mobility enhanced ... See more keywords
Serious Challenges and Potential Solutions for the Industrial Internet of Things with Edge Intelligence
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Network"
DOI: 10.1109/mnet.001.1800478
Abstract: The Industrial Internet of Things (IIoT) can improve manufacturing efficiency, enhance product quality, and reduce cost and pollution in industrial production, realizing intelligent industrialization. With the rise of big data, generated by intelligent terminals and… read more here.
Keywords: edge intelligence; internet things; industrial internet; challenges potential ... See more keywords
Multi-User QoE Enhancement: Federated Multi-Agent Reinforcement Learning for Cooperative Edge Intelligence
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Network"
DOI: 10.1109/mnet.001.2200194
Abstract: Federated learning (FL) as a new decentralized learning/computing technique has potential advantages (e.g., accelerating computation task processing and protecting user privacy) for edge intelligence. However, due to limited computing/ caching capacities of network edges and… read more here.
Keywords: user qoe; edge intelligence; multi user;