标题/作者	年份
State-of-the-art in artificial neural network applications: A survey OI Abiodun, A Jantan, AE Omolara, KV Dada, NAE Mohamed, H Arshad Heliyon 4 (11)	2018
Deep learning for anomaly detection: A survey R Chalapathy, S Chawla arXiv preprint arXiv:1901.03407	2019
Deep learning in mobile and wireless networking: A survey C Zhang, P Patras, H Haddadi IEEE Communications surveys & tutorials 21 (3), 2224-2287	2019
A survey on consensus mechanisms and mining strategy management in blockchain networks W Wang, DT Hoang, P Hu, Z Xiong, D Niyato, P Wang, Y Wen, DI Kim Ieee Access 7, 22328-22370	2019
Federated learning with differential privacy: Algorithms and performance analysis K Wei, J Li, M Ding, C Ma, HH Yang, F Farokhi, S Jin, TQS Quek, HV Poor IEEE Transactions on Information Forensics and Security 15, 3454-3469	2020
Deep learning with edge computing: A review J Chen, X Ran Proceedings of the IEEE 107 (8), 1655-1674	2019
Artificial neural networks-based machine learning for wireless networks: A tutorial M Chen, U Challita, W Saad, C Yin, M Debbah IEEE Communications Surveys & Tutorials 21 (4), 3039-3071	2019
A survey of machine and deep learning methods for internet of things (IoT) security MA Al-Garadi, A Mohamed, AK Al-Ali, X Du, I Ali, M Guizani IEEE Communications Surveys & Tutorials 22 (3), 1646-1685	2020
Internet of Things is a revolutionary approach for future technology enhancement: a review S Kumar, P Tiwari, M Zymbler Journal of Big data 6 (1), 1-21	2019
The future of healthcare internet of things: a survey of emerging technologies YA Qadri, A Nauman, YB Zikria, AV Vasilakos, SW Kim IEEE Communications Surveys & Tutorials 22 (2), 1121-1167	2020
Machine learning in IoT security: Current solutions and future challenges F Hussain, R Hussain, SA Hassan, E Hossain IEEE Communications Surveys & Tutorials 22 (3), 1686-1721	2020
A survey on industrial Internet of Things: A cyber-physical systems perspective H Xu, W Yu, D Griffith, N Golmie Ieee access 6, 78238-78259	2018
Predictive maintenance in the Industry 4.0: A systematic literature review T Zonta, CA Da Costa, R da Rosa Righi, MJ de Lima, ES da Trindade, ... Computers & Industrial Engineering 150, 106889	2020
Deep learning approaches for anomaly-based intrusion detection systems: A survey, taxonomy, and open issues A Aldweesh, A Derhab, AZ Emam Knowledge-Based Systems 189, 105124	2020
Federated learning for internet of things: A comprehensive survey DC Nguyen, M Ding, PN Pathirana, A Seneviratne, J Li, HV Poor IEEE Communications Surveys & Tutorials 23 (3), 1622-1658	2021
Toward massive machine type communications in ultra-dense cellular IoT networks: Current issues and machine learning-assisted solutions SK Sharma, X Wang IEEE Communications Surveys & Tutorials 22 (1), 426-471	2019
Deep learning enabled semantic communication systems H Xie, Z Qin, GY Li, BH Juang IEEE Transactions on Signal Processing 69, 2663-2675	2021
Sensor-based and vision-based human activity recognition: A comprehensive survey LM Dang, K Min, H Wang, MJ Piran, CH Lee, H Moon Pattern Recognition 108, 107561	2020
From IoT to 5G I-IoT: The next generation IoT-based intelligent algorithms and 5G technologies D Wang, D Chen, B Song, N Guizani, X Yu, X Du IEEE Communications Magazine 56 (10), 114-120	2018
Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things J Zhang, D Tao IEEE Internet of Things Journal 8 (10), 7789-7817	2020

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