Academic Journal

Revisiting edge AI : opportunities and challenges

التفاصيل البيبلوغرافية
العنوان: Revisiting edge AI : opportunities and challenges
المؤلفون: Meuser, Tobias, Loven, Lauri, Bhuyan, Monowar, Patil, Shishir G., Dustdar, Schahram, Aral, Atakan, Bayhan, Suzan, Becker, Christian, de Lara, Eyal, Ding, Aaron Yi, Edinger, Janick, Gross, James, Mohan, Nitinder, Pimentel, Andy D., Riviere, Etienne, Schulzrinne, Henning, Simoens, Pieter, Solmaz, Guerkan, Welzl, Michael
المصدر: IEEE INTERNET COMPUTING ; ISSN: 1089-7801 ; ISSN: 1941-0131
سنة النشر: 2024
المجموعة: Ghent University Academic Bibliography
مصطلحات موضوعية: Technology and Engineering, Artificial intelligence, Edge computing, Training, Machine learning, Inference algorithms, Data collection, Data models
الوصف: Edge artificial intelligence (AI) is an innovative computing paradigm that aims to shift the training and inference of machine learning models to the edge of the network. This paradigm offers the opportunity to significantly impact our everyday lives with new services such as autonomous driving and ubiquitous personalized health care. Nevertheless, bringing intelligence to the edge involves several major challenges, which include the need to constrain model architecture designs, the secure distribution and execution of the trained models, and the substantial network load required to distribute the models and data collected for training. In this article, we highlight key aspects in the development of edge AI in the past and connect them to current challenges. This article aims to identify research opportunities for edge AI, relevant to bring together the research in the fields of artificial intelligence and edge computing.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
Relation: https://biblio.ugent.be/publication/01J6VNKNPHM3PFM230CEWFH9V1; http://doi.org/10.1109/MIC.2024.3383758; https://biblio.ugent.be/publication/01J6VNKNPHM3PFM230CEWFH9V1/file/01J6VNM7M6E1RM8REC79G8Q529
DOI: 10.1109/MIC.2024.3383758
الاتاحة: https://biblio.ugent.be/publication/01J6VNKNPHM3PFM230CEWFH9V1
http://hdl.handle.net/1854/LU-01J6VNKNPHM3PFM230CEWFH9V1
https://doi.org/10.1109/MIC.2024.3383758
https://biblio.ugent.be/publication/01J6VNKNPHM3PFM230CEWFH9V1/file/01J6VNM7M6E1RM8REC79G8Q529
Rights: No license (in copyright) ; info:eu-repo/semantics/restrictedAccess
رقم الانضمام: edsbas.5C2D6AD2
قاعدة البيانات: BASE
الوصف
DOI:10.1109/MIC.2024.3383758