Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Wu, Shuyuan"'
Spatial autoregressive (SAR) models are important tools for studying network effects. However, with an increasing emphasis on data privacy, data providers often implement privacy protection measures that make classical SAR models inapplicable. In thi
Externí odkaz:
http://arxiv.org/abs/2403.16773
Autor:
Li, Xuetong, Gao, Yuan, Chang, Hong, Huang, Danyang, Ma, Yingying, Pan, Rui, Qi, Haobo, Wang, Feifei, Wu, Shuyuan, Xu, Ke, Zhou, Jing, Zhu, Xuening, Zhu, Yingqiu, Wang, Hansheng
This paper presents a selective review of statistical computation methods for massive data analysis. A huge amount of statistical methods for massive data computation have been rapidly developed in the past decades. In this work, we focus on three ca
Externí odkaz:
http://arxiv.org/abs/2403.11163
Distributed computing is critically important for modern statistical analysis. Herein, we develop a distributed quasi-Newton (DQN) framework with excellent statistical, computation, and communication efficiency. In the DQN method, no Hessian matrix i
Externí odkaz:
http://arxiv.org/abs/2306.04111
Modern statistical analysis often encounters datasets with large sizes. For these datasets, conventional estimation methods can hardly be used immediately because practitioners often suffer from limited computational resources. In most cases, they do
Externí odkaz:
http://arxiv.org/abs/2304.06231
We study a fully decentralized federated learning algorithm, which is a novel gradient descent algorithm executed on a communication-based network. For convenience, we refer to it as a network gradient descent (NGD) method. In the NGD method, only st
Externí odkaz:
http://arxiv.org/abs/2205.08364
Autor:
Deng, Jianming, Huang, Mancong, Wu, Shuyuan, Zhang, Biao, Han, Yifeng, Liu, Laijun, Gong, Weiping
Publikováno v:
In Journal of Alloys and Compounds 30 May 2024 986
Autor:
Chen, Dan, Zhang, Mengna, Zhang, Qinqin, Wu, Shuyuan, Yu, Bowen, Zhang, Xiaodi, Hu, Xuanran, Zhang, Shichao, Yang, Zhenyun, Kuang, Junzhe, Xu, Biao, Fang, Quan
Publikováno v:
In European Journal of Pharmacology 15 April 2024 969
Improving the clock stability is of fundamental importance for the development of quantum-enhanced metrology. One of the main limitations arises from the randomly-fluctuating local oscillator (LO) frequency, which introduces "phase slips" for long in
Externí odkaz:
http://arxiv.org/abs/2104.14309
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