Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Li, Chuanwen"'
Federated learning, which allows multiple client devices in a network to jointly train a machine learning model without direct exposure of clients' data, is an emerging distributed learning technique due to its nature of privacy preservation. However
Externí odkaz:
http://arxiv.org/abs/2303.11673
Skyline computation is an essential database operation that has many applications in multi-criteria decision making scenarios such as recommender systems. Existing algorithms have focused on checking point domination, which lack efficiency over large
Externí odkaz:
http://arxiv.org/abs/2107.09993
Autor:
Zhang, Jing1 (AUTHOR), Li, Chuanwen1 (AUTHOR) lichuanwen@mail.neu.edu.cn
Publikováno v:
Journal of Supercomputing. Sep2023, Vol. 79 Issue 13, p14146-14171. 26p.
Publikováno v:
In Information Sciences April 2022 589:440-458
Autor:
Xie, Lijie, Guan, Xinchao, Zhou, Yixiang, He, Yujie, Chen, Shilin, Xiao, Wanting, Yang, Jilong, Lu, Jianyong, Hong, Liecheng, Hu, Qiansheng, Wang, Qiong, Li, Chuanwen, Wang, Qing
Publikováno v:
Nutrients; Oct2024, Vol. 16 Issue 19, p3424, 16p
We revisit the moving k nearest neighbor (MkNN) query, which computes one's k nearest neighbor set and maintains it while at move. Existing MkNN algorithms are mostly safe region based, which lack efficiency due to either computing small safe regions
Externí odkaz:
http://arxiv.org/abs/1602.00363
Publikováno v:
In Information Systems July 2019 83:126-144
Autor:
Liu, Guoqiang, Zhang, Jingyi, Zhang, Xiaohui, Du, Yulong, Zhang, Kai, Li, Guocheng, Yu, Han, Li, Chuanwen, Li, Zaiyuan, Sun, Qiang, Wen, Lei
Publikováno v:
In Journal of Alloys and Compounds 25 November 2017 725:580-586
Publikováno v:
In Mathematical and Computer Modelling 2012 55(3):901-917
Akademický článek
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