Zobrazeno 1 - 10
of 239
pro vyhledávání: '"Deng, Xiaoheng"'
Dataset distillation (DD) entails creating a refined, compact distilled dataset from a large-scale dataset to facilitate efficient training. A significant challenge in DD is the dependency between the distilled dataset and the neural network (NN) arc
Externí odkaz:
http://arxiv.org/abs/2410.05103
Model stealing (MS) involves querying and observing the output of a machine learning model to steal its capabilities. The quality of queried data is crucial, yet obtaining a large amount of real data for MS is often challenging. Recent works have red
Externí odkaz:
http://arxiv.org/abs/2406.18540
Although the decentralized storage technology based on the blockchain can effectively realize secure data storage on cloud services. However, there are still some problems in the existing schemes, such as low storage capacity and low efficiency. To a
Externí odkaz:
http://arxiv.org/abs/2404.01606
Publikováno v:
Tongxin xuebao, Vol 45, Pp 258-273 (2024)
To address the problem that unmanned aerial vehicle (UAV) face complex time-varying fading channels, which could affect wireless transmission, a joint optimization problem of UAV's trajectory, reconfigurable intelligent surface (RIS) phase shift, off
Externí odkaz:
https://doaj.org/article/af44355d24f34cc0940a6db45e72fff0
Autor:
Cao, Zequn, Deng, Xiaoheng
Task offloading is a widely used technology in Mobile Edge Computing (MEC), which declines the completion time of user task with the help of resourceful edge servers. Existing works mainly focus on the case that the computation density of a user task
Externí odkaz:
http://arxiv.org/abs/2303.17100
Autor:
Kadum Muhanad Mohammed, Deng Xiaoheng
Publikováno v:
Nonlinear Engineering, Vol 13, Iss 1, Pp 2370-82 (2024)
Scheduling scientific workflows is essential for edge data centers operations. Fault tolerance is a crucial focus in workflow scheduling (WS) research. This study proposed fault-tolerant WS in edge data centers using Task Prioritization Adaptive Part
Externí odkaz:
https://doaj.org/article/73c9b3834de14b8ba6dddd79c8af51f6
Multi-access edge computing (MEC) is an emerging paradigm that pushes resources for sensing, communications, computing, storage and intelligence (SCCSI) to the premises closer to the end users, i.e., the edge, so that they could leverage the nearby r
Externí odkaz:
http://arxiv.org/abs/2204.08169
Autor:
Mushtaq, Husnain1 (AUTHOR) husnainmushtaq@csu.edu.cn, Deng, Xiaoheng1 (AUTHOR) dxh@csu.edu.cn, Ullah, Irshad1 (AUTHOR), Ali, Mubashir2 (AUTHOR) m.ali.16@bham.ac.uk, Malik, Babur Hayat3 (AUTHOR) babur@cs.uchenab.edu.pk
Publikováno v:
Information (2078-2489). Jul2024, Vol. 15 Issue 7, p376. 20p.
Publikováno v:
In Internet of Things April 2024 25
Autor:
Kadum, Muhanad Mohammed1,2 (AUTHOR) muhanad.mkaz@csu.edu.cn, Deng, Xiaoheng1 (AUTHOR)
Publikováno v:
Journal of Supercomputing. Mar2024, Vol. 80 Issue 5, p6486-6521. 36p.