Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Xue, Kouying"'
Autor:
Zhang, Ningyu, Tian, Bozhong, Cheng, Siyuan, Liang, Xiaozhuan, Hu, Yi, Xue, Kouying, Gou, Yanjie, Chen, Xi, Chen, Huajun
Knowledge editing for large language models can offer an efficient solution to alter a model's behavior without negatively impacting the overall performance. However, the current approaches encounter issues with limited generalizability across tasks,
Externí odkaz:
http://arxiv.org/abs/2402.16123
Autor:
Li, Wenjie, Xia, Qiaolin, Deng, Junfeng, Cheng, Hao, Liu, Jiangming, Xue, Kouying, Cheng, Yong, Xia, Shu-Tao
As an emerging secure learning paradigm in lever-aging cross-agency private data, vertical federatedlearning (VFL) is expected to improve advertising models by enabling the joint learning of complementary user attributes privately owned by the advert
Externí odkaz:
http://arxiv.org/abs/2205.15987
Publikováno v:
ICNC (1)
Network traffic prediction is an important research aspect of network behavior. Conventionally, ARMA time sequence model is usually adopted in network traffic prediction. However, the parameters used in normal time sequence models are difficult to be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82b5d28e4e1aee4ac4d5137fc03917e3
https://doi.org/10.1109/icnc.2009.673
https://doi.org/10.1109/icnc.2009.673
Publikováno v:
2009 Fifth International Conference on Natural Computation; 2009, p32-38, 7p