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pro vyhledávání: '"Peng, Jialiang"'
With the development and progress of science and technology, the Internet of Things(IoT) has gradually entered people's lives, bringing great convenience to our lives and improving people's work efficiency. Specifically, the IoT can replace humans in
Externí odkaz:
http://arxiv.org/abs/2210.04699
Publikováno v:
In Future Generation Computer Systems September 2024 158:255-266
Autor:
Peng, Jialiang1 (AUTHOR) pjl98@stu.hunau.edu.cn, Ouyang, Cheng1 (AUTHOR) ouyang@stu.hunau.edu.cn, Peng, Hao1 (AUTHOR) sx20230201@stu.hunau.edu.cn, Hu, Wenwu2 (AUTHOR) 1233087@hunau.edu.cn, Wang, Yi1 (AUTHOR) 1233087@hunau.edu.cn, Jiang, Ping2 (AUTHOR)
Publikováno v:
Sensors (14248220). May2024, Vol. 24 Issue 9, p2953. 19p.
Federated Edge Learning (FEL) allows edge nodes to train a global deep learning model collaboratively for edge computing in the Industrial Internet of Things (IIoT), which significantly promotes the development of Industrial 4.0. However, FEL faces t
Externí odkaz:
http://arxiv.org/abs/2012.04436
Autor:
Zhang, Ruofan1 (AUTHOR), Peng, Jialiang1 (AUTHOR), Chen, Hailin1 (AUTHOR), Peng, Hao1 (AUTHOR), Wang, Yi1 (AUTHOR) wangyi@hunau.edu.cn, Jiang, Ping2 (AUTHOR) wangyi@hunau.edu.cn
Publikováno v:
Sensors (14248220). Apr2024, Vol. 24 Issue 8, p2464. 22p.
Autor:
Liu, Yi, Peng, Jialiang, Kang, Jiawen, Iliyasu, Abdullah M., Niyato, Dusit, El-Latif, Ahmed A. Abd
Federated Learning (FL) has been recently proposed as an emerging paradigm to build machine learning models using distributed training datasets that are locally stored and maintained on different devices in 5G networks while providing privacy preserv
Externí odkaz:
http://arxiv.org/abs/2005.05752
Generative Adversarial Network (GAN) and its variants serve as a perfect representation of the data generation model, providing researchers with a large amount of high-quality generated data. They illustrate a promising direction for research with li
Externí odkaz:
http://arxiv.org/abs/1910.02007
Publikováno v:
IEEE Internet of Things Journal, pp. 1-1, 2019
The explosive growth of time-series data, the scale of time-series data (TSD) suggests that the scale and capability of many Internet of Things (IoT)-based applications has already been exceeded. Moreover, redundancy persists in TSD due to the correl
Externí odkaz:
http://arxiv.org/abs/1903.00237
Akademický článek
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Autor:
Peng, Jialiang, Zhang, Liqiang, Sun, Weixiang, Liu, Ying, Yang, Di, Feng, Min, Feng, Yange, Wang, Daoai
Publikováno v:
In Applied Materials Today December 2022 29