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Artificial Intelligence for Internet of Things as a Service: Small or Big Data, Private or Public Model, Centralized or Federated Learning?

Тип публикацииJournal Article
Дата публикации2023-12-01
scimago Q2
wos Q2
БС1
SJR0.551
CiteScore4.4
Impact factor2.3
ISSN00189162, 15580814
General Computer Science
Краткое описание
We propose a generic framework for mapping the training and federation tasks of three artificial intelligence for Internet of Things as a service (AIoTaS) systems to multiple cloud–edge–fog paradigms. A total of 31 possible mappings are identified as possible reference designs for AIoTaS providers.
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IEEE Transactions on Network and Service Management
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ACM Computing Surveys
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Journal of Computational Methods in Sciences and Engineering
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Institute of Electrical and Electronics Engineers (IEEE)
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Association for Computing Machinery (ACM)
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ГОСТ |
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Lin Y. et al. Artificial Intelligence for Internet of Things as a Service: Small or Big Data, Private or Public Model, Centralized or Federated Learning? // Computer. 2023. Vol. 56. No. 12. pp. 65-79.
ГОСТ со всеми авторами (до 50) Скопировать
Lin Y., Lai Y. C., Sudyana D., Hwang R. Artificial Intelligence for Internet of Things as a Service: Small or Big Data, Private or Public Model, Centralized or Federated Learning? // Computer. 2023. Vol. 56. No. 12. pp. 65-79.
RIS |
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TY - JOUR
DO - 10.1109/mc.2023.3303370
UR - https://ieeexplore.ieee.org/document/10319901/
TI - Artificial Intelligence for Internet of Things as a Service: Small or Big Data, Private or Public Model, Centralized or Federated Learning?
T2 - Computer
AU - Lin, Ying-Dar
AU - Lai, Yuan Cheng
AU - Sudyana, Didik
AU - Hwang, Ruey-Bing
PY - 2023
DA - 2023/12/01
PB - Institute of Electrical and Electronics Engineers (IEEE)
SP - 65-79
IS - 12
VL - 56
SN - 0018-9162
SN - 1558-0814
ER -
BibTex |
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BibTex (до 50 авторов) Скопировать
@article{2023_Lin,
author = {Ying-Dar Lin and Yuan Cheng Lai and Didik Sudyana and Ruey-Bing Hwang},
title = {Artificial Intelligence for Internet of Things as a Service: Small or Big Data, Private or Public Model, Centralized or Federated Learning?},
journal = {Computer},
year = {2023},
volume = {56},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
month = {dec},
url = {https://ieeexplore.ieee.org/document/10319901/},
number = {12},
pages = {65--79},
doi = {10.1109/mc.2023.3303370}
}
MLA
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Lin, Ying-Dar, et al. “Artificial Intelligence for Internet of Things as a Service: Small or Big Data, Private or Public Model, Centralized or Federated Learning?.” Computer, vol. 56, no. 12, Dec. 2023, pp. 65-79. https://ieeexplore.ieee.org/document/10319901/.