Zobrazeno 1 - 10
of 1 273
pro vyhledávání: '"Jiang Xuefeng"'
Publikováno v:
Shanghai yufang yixue, Vol 36, Iss 8, Pp 789-792 (2024)
ObjectiveTo understand the protective effect of pentavalent rotavirus (RV) vaccine in preventing infectious diarrhea among infants and young children, and to provide a basis for formulating prevention and control strategies for this population.Method
Externí odkaz:
https://doaj.org/article/efd66e930b3d42a38f78ba711e89afce
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Several incidents of electric vehicle combustion across various regions in China have brought the safety concerns associated with new energy vehicles into sharp focus within public discourse. Addressing these concerns, this paper explores maintenance
Externí odkaz:
https://doaj.org/article/6abeca217726472b8659fbe2cd33eeb7
Federated learning offers a paradigm to the challenge of preserving privacy in distributed machine learning. However, datasets distributed across each client in the real world are inevitably heterogeneous, and if the datasets can be globally aggregat
Externí odkaz:
http://arxiv.org/abs/2409.12105
Autor:
Jiang, Xuefeng, Sun, Sheng, Li, Jia, Xue, Jingjing, Li, Runhan, Wu, Zhiyuan, Xu, Gang, Wang, Yuwei, Liu, Min
Recently, federated learning (FL) has achieved wide successes for diverse privacy-sensitive applications without sacrificing the sensitive private information of clients. However, the data quality of client datasets can not be guaranteed since corres
Externí odkaz:
http://arxiv.org/abs/2408.04301
Autor:
Jiang, Xuefeng, Wang, Fangyuan, Zheng, Rongzhang, Liu, Han, Huo, Yixiong, Peng, Jinzhang, Tian, Lu, Barsoum, Emad
Precise localization is of great importance for autonomous parking task since it provides service for the downstream planning and control modules, which significantly affects the system performance. For parking scenarios, dynamic lighting, sparse tex
Externí odkaz:
http://arxiv.org/abs/2407.05017
Publikováno v:
Nanophotonics, Vol 7, Iss 8, Pp 1455-1460 (2018)
A fiber-based whispering-gallery-mode (WGM) microprobe, combining both the high optical field enhancement of the WGMs and the compact structure of the optical fiber, is highly desired for sensing and imaging. Here we report a WGM microsphere resonato
Externí odkaz:
https://doaj.org/article/56eb777fc3c14970ab93ce1b4b307fd5
Federated Learning (FL) enables collaborative model training among participants while guaranteeing the privacy of raw data. Mainstream FL methodologies overlook the dynamic nature of real-world data, particularly its tendency to grow in volume and di
Externí odkaz:
http://arxiv.org/abs/2401.00622
Autor:
Wu, Zhiyuan, Sun, Sheng, Wang, Yuwei, Liu, Min, Gao, Bo, Pan, Quyang, He, Tianliu, Jiang, Xuefeng
Federated Learning (FL) enables training Artificial Intelligence (AI) models over end devices without compromising their privacy. As computing tasks are increasingly performed by a combination of cloud, edge, and end devices, FL can benefit from this
Externí odkaz:
http://arxiv.org/abs/2312.11489
Autor:
Wang, Yuwei, Li, Runhan, Tan, Hao, Jiang, Xuefeng, Sun, Sheng, Liu, Min, Gao, Bo, Wu, Zhiyuan
Federated learning (FL) aims to collaboratively train a shared model across multiple clients without transmitting their local data. Data heterogeneity is a critical challenge in realistic FL settings, as it causes significant performance deterioratio
Externí odkaz:
http://arxiv.org/abs/2311.08202