Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Yang, Yuzhi"'
Publikováno v:
A&A 686, A279 (2024)
Context. Solar jets play a role in the coronal heating and the supply of solar wind. Aims. This study calculated the energies of 23 small-scale jets emerging from a quiet-Sun region to investigate their contributions for coronal heating. Conclusions.
Externí odkaz:
http://arxiv.org/abs/2403.16193
Autor:
Tian, Yuqing, Zhang, Zhaoyang, Yang, Yuzhi, Chen, Zirui, Yang, Zhaohui, Jin, Richeng, Quek, Tony Q. S., Wong, Kai-Kit
Generative artificial intelligence (GenAI) offers various services to users through content creation, which is believed to be one of the most important components in future networks. However, training and deploying big artificial intelligence models
Externí odkaz:
http://arxiv.org/abs/2401.01666
Publikováno v:
Cailiao Baohu, Vol 57, Iss 4, Pp 106-113 (2024)
With the continuous development of China's offshore oil and gas resources, the corrosion of pipeline welded joints has become one of the main factors leading to the failure and safety of marine operating pipelines. In order to provide more accurate t
Externí odkaz:
https://doaj.org/article/7c9381d2a1454eee84edd795d8e20f1d
This paper investigates a communication-efficient split learning (SL) over multiple-input multiple-output (MIMO) communication system. In particular, we mathematically decompose the inter-layer connection of a neural network (NN) to a series of linea
Externí odkaz:
http://arxiv.org/abs/2210.03914
Autor:
Yang, Yuzhi, Zhang, Zhaoyang, Tian, Yuqing, Yang, Zhaohui, Huang, Chongwen, Zhong, Caijun, Wong, Kai-Kit
In split machine learning (ML), different partitions of a neural network (NN) are executed by different computing nodes, requiring a large amount of communication cost. To ease communication burden, over-the-air computation (OAC) can efficiently impl
Externí odkaz:
http://arxiv.org/abs/2210.04742
Publikováno v:
PLoS ONE. 6/7/2024, Vol. 19 Issue 6, p1-34. 34p.
Approximate message passing (AMP) type algorithms have been widely used in the signal reconstruction of certain large random linear systems. A key feature of the AMP-type algorithms is that their dynamics can be correctly described by state evolution
Externí odkaz:
http://arxiv.org/abs/2112.15327
Publikováno v:
In Materials Characterization June 2024 212
Federated learning (FL) is a privacy-preserving machine learning setting that enables many devices to jointly train a shared global model without the need to reveal their data to a central server. However, FL involves a frequent exchange of the param
Externí odkaz:
http://arxiv.org/abs/2110.02226
Autor:
Li, Rumei, Lu, Bin, Li, Qiang, Hu, Ji, Huang, Yun, Wang, Yangang, Qin, Guijun, Zhang, Weiwei, Su, Qing, Zhu, Jun, Xu, Yancheng, Jiang, Hongwei, Wang, Xinjun, Zhang, Keqing, Yang, Yuzhi, Hu, Renming
Publikováno v:
In Primary Care Diabetes February 2024 18(1):97-103