Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Wen, Yuhong"'
Autor:
Roth, Holger R., Beutel, Daniel J., Cheng, Yan, Marques, Javier Fernandez, Pan, Heng, Chen, Chester, Zhang, Zhihong, Wen, Yuhong, Yang, Sean, Isaac, Yang, Hsieh, Yuan-Ting, Xu, Ziyue, Xu, Daguang, Lane, Nicholas D., Feng, Andrew
Several open-source systems, such as Flower and NVIDIA FLARE, have been developed in recent years while focusing on different aspects of federated learning (FL). Flower is dedicated to implementing a cohesive approach to FL, analytics, and evaluation
Externí odkaz:
http://arxiv.org/abs/2407.00031
Autor:
Roth, Holger R., Xu, Ziyue, Hsieh, Yuan-Ting, Renduchintala, Adithya, Yang, Isaac, Zhang, Zhihong, Wen, Yuhong, Yang, Sean, Lu, Kevin, Kersten, Kristopher, Ricketts, Camir, Xu, Daguang, Chen, Chester, Cheng, Yan, Feng, Andrew
In the ever-evolving landscape of artificial intelligence (AI) and large language models (LLMs), handling and leveraging data effectively has become a critical challenge. Most state-of-the-art machine learning algorithms are data-centric. However, as
Externí odkaz:
http://arxiv.org/abs/2402.07792
Autor:
Roth, Holger R., Cheng, Yan, Wen, Yuhong, Yang, Isaac, Xu, Ziyue, Hsieh, Yuan-Ting, Kersten, Kristopher, Harouni, Ahmed, Zhao, Can, Lu, Kevin, Zhang, Zhihong, Li, Wenqi, Myronenko, Andriy, Yang, Dong, Yang, Sean, Rieke, Nicola, Quraini, Abood, Chen, Chester, Xu, Daguang, Ma, Nic, Dogra, Prerna, Flores, Mona, Feng, Andrew
Publikováno v:
IEEE Data Eng. Bull., Vol. 46, No. 1, 2023
Federated learning (FL) enables building robust and generalizable AI models by leveraging diverse datasets from multiple collaborators without centralizing the data. We created NVIDIA FLARE as an open-source software development kit (SDK) to make it
Externí odkaz:
http://arxiv.org/abs/2210.13291
Autor:
Xie, Feiyan, Gu, Junqiang, Zhong, Shengliang, Zhang, Peilan, Wen, Yuhong, Li, Yinuan, Xu, Hualan, Yao, Suyang, Zhang, Qiuhong, Li, Junhao
Publikováno v:
In Materials Today Chemistry April 2024 37
Autor:
Elrys, Ahmed S., Wen, YuHong, Qin, Xiaofeng, Chen, Yunzhong, Zhu, Qilin, Eltahawy, Abdelsatar M., Dan, Xiaoqian, Tang, Shuirong, Wu, Yanzheng, Zhu, Tongbin, Meng, Lei, Zhang, Jinbo, Müller, Christoph
Publikováno v:
In Environment International February 2024 184
Autor:
Roth, Holger R., Chang, Ken, Singh, Praveer, Neumark, Nir, Li, Wenqi, Gupta, Vikash, Gupta, Sharut, Qu, Liangqiong, Ihsani, Alvin, Bizzo, Bernardo C., Wen, Yuhong, Buch, Varun, Shah, Meesam, Kitamura, Felipe, Mendonça, Matheus, Lavor, Vitor, Harouni, Ahmed, Compas, Colin, Tetreault, Jesse, Dogra, Prerna, Cheng, Yan, Erdal, Selnur, White, Richard, Hashemian, Behrooz, Schultz, Thomas, Zhang, Miao, McCarthy, Adam, Yun, B. Min, Sharaf, Elshaimaa, Hoebel, Katharina V., Patel, Jay B., Chen, Bryan, Ko, Sean, Leibovitz, Evan, Pisano, Etta D., Coombs, Laura, Xu, Daguang, Dreyer, Keith J., Dayan, Ittai, Naidu, Ram C., Flores, Mona, Rubin, Daniel, Kalpathy-Cramer, Jayashree
Publikováno v:
In: Albarqouni S. et al. (eds) Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning. DART 2020, DCL 2020. Lecture Notes in Computer Science, vol 12444. Springer, Cham
Building robust deep learning-based models requires large quantities of diverse training data. In this study, we investigate the use of federated learning (FL) to build medical imaging classification models in a real-world collaborative setting. Seve
Externí odkaz:
http://arxiv.org/abs/2009.01871
Detecting clinically relevant objects in medical images is a challenge despite large datasets due to the lack of detailed labels. To address the label issue, we utilize the scene-level labels with a detection architecture that incorporates natural la
Externí odkaz:
http://arxiv.org/abs/2007.15778
Akademický článek
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Akademický článek
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Autor:
Dou, Yanyun, Lu, Ruichao, Su, Lingsong, Lan, Ke, Meng, Zhihao, Qin, Shanfang, Huang, Liling, Huang, Wei, Xu, Yuanlong, Lv, Yu, Wen, Yuhong, Lan, Shuanglai, Zuo, Yong, Zhang, Yong
Publikováno v:
HIV Medicine; Jun2024, Vol. 25 Issue 6, p754-758, 5p