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pro vyhledávání: '"Su, Xiang"'
Despite extensive research into data heterogeneity in federated learning (FL), system heterogeneity remains a significant yet often overlooked challenge. Traditional FL approaches typically assume homogeneous hardware resources across FL clients, imp
Externí odkaz:
http://arxiv.org/abs/2407.05098
Publikováno v:
2024MNRAS.529.3958S
Many studies have analyzed planetary occurrence rates and their dependence on the host's properties to provide clues to planet formation, but few have focused on the mutual occurrence ratio of different kinds of planets. Such relations reveal whether
Externí odkaz:
http://arxiv.org/abs/2404.11005
Publikováno v:
Phys. Rev. A 110, 032620 (2024)
Non-Markovianity, the intricate dependence of an open quantum system on its temporal evolution history, holds tremendous implications across various scientific disciplines. However, accurately characterizing the complex non-Markovian effects has pose
Externí odkaz:
http://arxiv.org/abs/2401.17255
As privacy concerns continue to grow, federated learning (FL) has gained significant attention as a promising privacy-preserving technology, leading to considerable advancements in recent years. Unlike traditional machine learning, which requires cen
Externí odkaz:
http://arxiv.org/abs/2312.12091
We propose an online learning algorithm for a class of machine learning models under a separable stochastic approximation framework. The essence of our idea lies in the observation that certain parameters in the models are easier to optimize than oth
Externí odkaz:
http://arxiv.org/abs/2305.07484
Autor:
Zhang, Xiaoxiao1 (AUTHOR) zhangxiaoxiao@xupt.edu.cn, Su, Xiang2 (AUTHOR) xiang_su@stu.xidian.edu.cn, Liu, Lixia2 (AUTHOR) liulx@cast504.com, Wu, Zhensen3 (AUTHOR) wuzhs@mail.xidian.edu.cn
Publikováno v:
Remote Sensing. Oct2024, Vol. 16 Issue 20, p3835. 17p.
Autor:
Su, Xiang1 (AUTHOR), Sun, Ling1 (AUTHOR), Sun, Xiaogang2 (AUTHOR), Zhao, Quanguo3 (AUTHOR) zhaoquanguo012@outlook.com
Publikováno v:
Scientific Reports. 10/10/2024, Vol. 14 Issue 1, p1-12. 12p.
The provisioning of immersive point cloud video (PCV) streaming on pervasive mobile devices is a cornerstone for enabling immersive communication and interactions in the future 6G metaverse era. However, most streaming techniques are dedicated to eff
Externí odkaz:
http://arxiv.org/abs/2210.06808
The metaverse has awakened users' expectations of an immersive interaction that fuses the virtual digital world and the physical world across space and time. However, the metaverse is still in its infancy, typically expanding multi-player application
Externí odkaz:
http://arxiv.org/abs/2210.06802
Real-time holographic video communications enable immersive experiences for next-generation video services in the future metaverse era. However, high-fidelity holographic videos require high bandwidth and significant computation resources, which exce
Externí odkaz:
http://arxiv.org/abs/2210.06794