Zobrazeno 1 - 10
of 572
pro vyhledávání: '"Zhai Kun"'
Autor:
Zhang, Delin, Wei, Heshuang, Duan, Jinyu, Chen, Jiali, Yue, Dongdong, Yang, Yuhe, Gou, Jinlong, Yan, Junxin, Zhai, Kun, Wang, Ping, Hu, Shuai, Jia, Zhiyan, Jiang, Wei, Wang, Wenhong, Li, Yue, Jiang, Yong
Efficiently manipulating the magnetization of van der Waals ferromagnets has attracted considerable interest in developing room-temperature two-dimensional material-based memory and logic devices. Here, taking advantage of the unique properties of th
Externí odkaz:
http://arxiv.org/abs/2412.04872
Autor:
Zhou, Liuzhi, He, Yu, Zhai, Kun, Liu, Xiang, Liu, Sen, Ma, Xingjun, Ye, Guangnan, Jiang, Yu-Gang, Chai, Hongfeng
Federated learning (FL) has emerged as a prominent approach for collaborative training of machine learning models across distributed clients while preserving data privacy. However, the quest to balance acceleration and stability becomes a significant
Externí odkaz:
http://arxiv.org/abs/2405.11811
Federated learning (FL) is a collaborative learning paradigm that allows different clients to train one powerful global model without sharing their private data. Although FL has demonstrated promising results in various applications, it is known to s
Externí odkaz:
http://arxiv.org/abs/2404.11888
Autor:
Tang, Ming, Huang, Junwei, Qin, Feng, Zhai, Kun, Ideue, Toshiya, Li, Zeya, Meng, Fanhao, Nie, Anmin, Wu, Linglu, Bi, Xiangyu, Zhang, Caorong, Zhou, Ling, Chen, Peng, Qiu, Caiyu, Tang, Peizhe, Zhang, Haijun, Wan, Xiangang, Wang, Lin, Liu, Zhongyuan, Tian, Yongjun, Iwasa, Yoshihiro, Yuan, Hongtao
Controlling the magnetic anisotropy of ferromagnetic materials plays a key role in magnetic switching devices and spintronic applications. Examples of spin-orbit torque devices with different magnetic anisotropy geometries (in-plane or out-of-plane d
Externí odkaz:
http://arxiv.org/abs/2211.08909
Autor:
Guo, Dan, Wang, Bochong, Xiang, Jianyong, Nie, Anmin, Zhai, Kun, Xue, Tianyu, Wen, Fusheng, Cheng, Yingchun, Mu, Congpu
Publikováno v:
In Composites Science and Technology 10 November 2024 258
Autor:
Zhai, Kun, Liu, Ting-ting, Huang, Hong-Bo, Li, Xian-ning, Geng, Feng-chao, Liu, Cai-Ling, Xie, Mei-lan, Ma, Dui, Liang, Xiao
Publikováno v:
In Chemical Engineering Science 5 October 2024 298
Autor:
Gao, Xin1 (AUTHOR), Zhai, Kun1 (AUTHOR) kunzhai@ysu.edu.cn, Fu, Huixia2 (AUTHOR) hxfu@cqu.edu.cn, Yan, Junxin1 (AUTHOR), Yue, Dongdong1 (AUTHOR), Ke, Feng1 (AUTHOR), Zhao, Ying2 (AUTHOR), Mu, Congpu1 (AUTHOR) congpumu@ysu.edu.cn, Nie, Anmin1 (AUTHOR), Xiang, Jianyong1 (AUTHOR), Wen, Fusheng1 (AUTHOR), Wang, Bochong1 (AUTHOR), Xue, Tianyu1 (AUTHOR), Wang, Lin1 (AUTHOR), Yuan, Hongtao3 (AUTHOR) htyuan@nju.edu.cn, Liu, Zhongyuan1 (AUTHOR)
Publikováno v:
Advanced Science. 9/4/2024, Vol. 11 Issue 33, p1-8. 8p.
Autor:
Li, Junxiao, Wang, Bochong, Sun, Qijun, Mu, Congpu, Xiang, Jianyong, Nie, Anmin, Zhai, Kun, Xue, Tianyu, Wen, Fusheng, Liu, Zhongyuan
Publikováno v:
In Composites Science and Technology 29 September 2024 256
Federated learning is a novel framework that enables resource-constrained edge devices to jointly learn a model, which solves the problem of data protection and data islands. However, standard federated learning is vulnerable to Byzantine attacks, wh
Externí odkaz:
http://arxiv.org/abs/2109.02396
Publikováno v:
In Finance Research Letters May 2024 63