Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Yan, Guochen"'
Autor:
Yan, Guochen, Li, Xunkai, Xie, Luyuan, Zhang, Wentao, Shen, Qingni, Fang, Yuejian, Wu, Zhonghai
Federated Graph Learning (FGL) has emerged as a promising paradigm for breaking data silos in distributed private graphs data management. In practical scenarios involving complex and heterogeneous distributed graph data, personalized Federated Graph
Externí odkaz:
http://arxiv.org/abs/2411.11304
Autor:
Li, Xunkai, Zhu, Yinlin, Pang, Boyang, Yan, Guochen, Yan, Yeyu, Li, Zening, Wu, Zhengyu, Zhang, Wentao, Li, Rong-Hua, Wang, Guoren
Federated graph learning (FGL) has emerged as a promising distributed training paradigm for graph neural networks across multiple local systems without direct data sharing. This approach is particularly beneficial in privacy-sensitive scenarios and o
Externí odkaz:
http://arxiv.org/abs/2408.16288
Publikováno v:
In Information Sciences November 2023 648
Publikováno v:
The Journal of Cell Biology, 1996 Oct 01. 135(1), 9-18.
Externí odkaz:
https://www.jstor.org/stable/1617723
Publikováno v:
In Vitro Cellular & Developmental Biology, 1991 Jun 01. 27A(6), 437-438.
Externí odkaz:
https://www.jstor.org/stable/4296681
Autor:
Yan, Guochen, McKeehan, Wallace L.
Publikováno v:
In Vitro Cellular & Developmental Biology. Animal, 1994 Nov 01. 30A(11), 745-746.
Externí odkaz:
https://www.jstor.org/stable/4294323
Publikováno v:
Chinese Journal of Lasers. 41:0403009
Publikováno v:
Biotechniques; September 1997, Vol. 23 Issue: 3 p525-531, 7p
Publikováno v:
Biochemical and Biophysical Research Communications; December 1996, Vol. 229 Issue: 1 p295-298, 4p
Publikováno v:
In Vitro Cellular & Developmental Biology Animal; Nov1994, Vol. 30 Issue 11, p745-746, 2p