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

被引：2

作者：

Lin, Ying-Dar ^{[1
]}

Lai, Yuan-Cheng ^{[2
]}

Sudyana, Didik ^{[3
]}

Hwang, Ren-Hung ^{[4
]}

机构：

[1] Natl Yang Ming Chiao Tung Univ, Comp Sci, Hsinchu 300, Taiwan

[2] Natl Taiwan Univ Sci & Technol, Dept Informat Management, Taipei 106, Taiwan

[3] Natl Yang Ming Chiao Tung Univ, Elect Engn & Comp Sci Int Grad Program, Hsinchu 300, Taiwan

[4] Natl Yang Ming Chiao Tung Univ, Coll Artificial Intelligence, Hsinchu 300, Taiwan

来源：

COMPUTER | 2023年 / 56卷 / 12期

关键词：

Training; Cloud computing; Federated learning; Computational modeling; Big Data; Data models; Internet of Things; CLOUD; EDGE;

D O I：

10.1109/MC.2023.3303370

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：65 / 79

页数：15

共 30 条

[1] A Survey of Recent Advances in Edge-Computing-Powered Artificial Intelligence of Things [J].

Chang, Zhuoqing ;

Liu, Shubo ;

Xiong, Xingxing ;

Cai, Zhaohui ;

Tu, Guoqing .

IEEE INTERNET OF THINGS JOURNAL, 2021, 8 (18) :13849-13875

[2] A 3.5-tier container-based edge computing architecture [J].

Chen, Ching-Han ;

Liu, Chao-Tsu .

COMPUTERS & ELECTRICAL ENGINEERING, 2021, 93 (93)

[3] PADP-FedMeta: A personalized and adaptive differentially private federated meta learning mechanism for AIoT [J].

Dong, Fang ;

Ge, Xinghua ;

Li, Qinya ;

Zhang, Jinghui ;

Shen, Dian ;

Liu, Siqi ;

Liu, Xiao ;

Li, Gang ;

Wu, Fan ;

Luo, Junzhou .

JOURNAL OF SYSTEMS ARCHITECTURE, 2023, 134

[4] Federated vs. Centralized Machine Learning under Privacy-elastic Users: A Comparative Analysis [J].

Drainakis, Georgios ;

Katsaros, Konstantinos V. ;

Pantazopoulos, Panagiotis ;

Sourlas, Vasilis ;

Amditis, Angelos .

2020 IEEE 19TH INTERNATIONAL SYMPOSIUM ON NETWORK COMPUTING AND APPLICATIONS (NCA), 2020,

[5] Differential Privacy for Deep and Federated Learning: A Survey [J].

El Ouadrhiri, Ahmed ;

Abdelhadi, Ahmed .

IEEE ACCESS, 2022, 10 :22359-22380

[6] The convergence and interplay of edge, fog, and cloud in the AI-driven Internet of Things (IoT) [J].

Firouzi, Farshad ;

Farahani, Bahar ;

Marinsek, Alexander .

INFORMATION SYSTEMS, 2022, 107

[7] AI for next generation computing: Emerging trends and future directions [J].

Gill, Sukhpal Singh ;

Xu, Minxian ;

Ottaviani, Carlo ;

Patros, Panos ;

Bahsoon, Rami ;

Shaghaghi, Arash ;

Golec, Muhammed ;

Stankovski, Vlado ;

Wu, Huaming ;

Abraham, Ajith ;

Singh, Manmeet ;

Mehta, Harshit ;

Ghosh, Soumya K. ;

Baker, Thar ;

Parlikad, Ajith Kumar ;

Lutfiyya, Hanan ;

Kanhere, Salil S. ;

Sakellariou, Rizos ;

Dustdar, Schahram ;

Rana, Omer ;

Brandic, Ivona ;

Uhlig, Steve .

INTERNET OF THINGS, 2022, 19

[8] Smart-Edge-CoCaCo: AI-Enabled Smart Edge with Joint Computation, Caching, and Communication in Heterogeneous IoT [J].

Hao, Yixue ;

Miao, Yiming ;

Hu, Long ;

Hossain, M. Shamim ;

Muhammad, Ghulam ;

Amin, Syed Umar .

IEEE NETWORK, 2019, 33 (02) :58-64

[9] AI-based fog and edge computing: A systematic review, taxonomy and future directions [J].

Iftikhar, Sundas ;

Gill, Sukhpal Singh ;

Song, Chenghao ;

Xu, Minxian ;

Aslanpour, Mohammad Sadegh ;

Toosi, Adel N. ;

Du, Junhui ;

Wu, Huaming ;

Ghosh, Shreya ;

Chowdhury, Deepraj ;

Golec, Muhammed ;

Kumar, Mohit ;

Abdelmoniem, Ahmed M. ;

Cuadrado, Felix ;

Varghese, Blesson ;

Rana, Omer ;

Dustdar, Schahram ;

Uhlig, Steve .

INTERNET OF THINGS, 2023, 21

[10] Intelligence-Empowered Mobile Edge Computing: Framework, Issues, Implementation, and Outlook [J].

Jiang, Kai ;

Sun, Chuan ;

Zhou, Huan ;

Li, Xiuhua ;

Dong, Mianxiong ;

Leung, Victor C. M. .

IEEE NETWORK, 2021, 35 (05) :74-82

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