Zobrazeno 1 - 10
of 2 329
pro vyhledávání: '"Xu Xiaolong"'
Autor:
Liu, Qingxiang, Sun, Sheng, Liang, Yuxuan, Xu, Xiaolong, Liu, Min, Bilal, Muhammad, Wang, Yuwei, Li, Xujing, Zheng, Yu
Multiple federated learning (FL) methods are proposed for traffic flow forecasting (TFF) to avoid heavy-transmission and privacy-leaking concerns resulting from the disclosure of raw data in centralized methods. However, these FL methods adopt offlin
Externí odkaz:
http://arxiv.org/abs/2411.14046
Railway Turnout Machines (RTMs) are mission-critical components of the railway transportation infrastructure, responsible for directing trains onto desired tracks. For safety assurance applications, especially in early-warning scenarios, RTM faults a
Externí odkaz:
http://arxiv.org/abs/2411.02086
Computer simulation platforms offer an alternative solution by emulating complex systems in a controlled manner. However, existing Edge Computing (EC) simulators, as well as general-purpose vehicular network simulators, are not tailored for VEC and l
Externí odkaz:
http://arxiv.org/abs/2410.06934
Autor:
XU Xiaolong, YANG Xingchen, WEI Ruilong, CHENG Xianqiong, YE Chengming, WANG Lixuan, SUI Tianbo
Publikováno v:
Dizhi lixue xuebao, Vol 27, Iss 3, Pp 400-408 (2021)
This study aims to explore the impact assessment method of geologic engineering activities on the habitat quality of small watershed. This paper utilized remote sensing technology to fetch the land-use change information of the Guobayan Mineral Distr
Externí odkaz:
https://doaj.org/article/766b802d0cc24052afdd6d322b27ccd5
In mobile edge computing (MEC), task offloading can significantly reduce task execution latency and energy consumption of end user (EU). However, edge server (ES) resources are limited, necessitating efficient allocation to ensure the sustainable and
Externí odkaz:
http://arxiv.org/abs/2409.18977
Publikováno v:
E3S Web of Conferences, Vol 385, p 01036 (2023)
The authors have expressed the wish to retract this article on the ground that there are some technical issues that require to be corrected. The Publisher and Editor(s) approved to the retraction.
Externí odkaz:
https://doaj.org/article/c6aec969514e4b948b230715097f8ccc
Publikováno v:
E3S Web of Conferences, Vol 385, p 01024 (2023)
The authors have expressed the wish to retract this article on the ground that there are some technical issues that require to be corrected. The Publisher and Editor(s) approved to the retraction.
Externí odkaz:
https://doaj.org/article/218e2405de7340229fd9ed2a76cc6c02
Autor:
Chi, Xiaoxiao, Zhang, Xuyun, Wang, Yan, Qi, Lianyong, Beheshti, Amin, Xu, Xiaolong, Choo, Kim-Kwang Raymond, Wang, Shuo, Hu, Hongsheng
Recommender systems have been successfully applied in many applications. Nonetheless, recent studies demonstrate that recommender systems are vulnerable to membership inference attacks (MIAs), leading to the leakage of users' membership privacy. Howe
Externí odkaz:
http://arxiv.org/abs/2405.07018
Autor:
Yang, Shiqi, Xu, Xiaolong, Gao, Yuchen, Guzman, Roger, Gu, Pingfan, Wang, Huan, Huang, Yuan, Zhou, Wu, Xia, Tianlong, Ye, Yu
The study of the mechanism of exchange bias phenomena and the achievement of its efficient control are of great importance, as it promotes the revelation of unique exchange interactions and the development of exotic applications. However, it is chall
Externí odkaz:
http://arxiv.org/abs/2405.02549
Pricing is an important issue in mobile edge computing. How to appropriately determine the bid of end user (EU) is an incentive factor for edge cloud (EC) to offer service. In this letter, we propose an equilibrium pricing scheme based on the all-pay
Externí odkaz:
http://arxiv.org/abs/2403.09129