Zobrazeno 1 - 10
of 540
pro vyhledávání: '"Lu, Zhihui"'
Vertical Federated Learning (VFL) facilitates collaborative machine learning without the need for participants to share raw private data. However, recent studies have revealed privacy risks where adversaries might reconstruct sensitive features throu
Externí odkaz:
http://arxiv.org/abs/2406.12588
Autor:
Hu, Shijing, Deng, Ruijun, Du, Xin, Lu, Zhihui, Duan, Qiang, He, Yi, Huang, Shih-Chia, Wu, Jie
Recent large vision models (e.g., SAM) enjoy great potential to facilitate intelligent perception with high accuracy. Yet, the resource constraints in the IoT environment tend to limit such large vision models to be locally deployed, incurring consid
Externí odkaz:
http://arxiv.org/abs/2404.10498
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract To develop the Head and Neck Cancer Psychosocial Distress Scale (HNCPDS) with the aim of identifying high-risk individuals for psychosocial distress among patients, and to assess its reliability, validity and applicability. Using the classic
Externí odkaz:
https://doaj.org/article/51115967452f4f4480d4d3cfd8c022e8
Vertical federated learning (VFL) is a cloud-edge collaboration paradigm that enables edge nodes, comprising resource-constrained Internet of Things (IoT) devices, to cooperatively train artificial intelligence (AI) models while retaining their data
Externí odkaz:
http://arxiv.org/abs/2304.11432
Autor:
Lu, Zhihui1 (AUTHOR) 2022210559@bsu.edu.cn, Yang, Junchao2 (AUTHOR) 1004320180291@bsu.edu.cn, Tao, Kuan3,4 (AUTHOR) taokuan@bsu.edu.cn, Li, Xiangxin2 (AUTHOR) 2023210294@bsu.edu.cn, Xu, Haoqi2 (AUTHOR) xuhaoqi200122@outlook.com, Qiu, Junqiang2,5 (AUTHOR) qiujunqiang@bsu.edu.cn
Publikováno v:
Sensors (14248220). Aug2024, Vol. 24 Issue 16, p5412. 17p.
Autor:
Duan, Qiang1 (AUTHOR) qduan@psu.edu, Lu, Zhihui2 (AUTHOR) lzh@fudan.edu.cn
Publikováno v:
Future Internet. Jul2024, Vol. 16 Issue 7, p227. 4p.
Federated learning (FL) and split learning (SL) are two emerging collaborative learning methods that may greatly facilitate ubiquitous intelligence in Internet of Things (IoT). Federated learning enables machine learning (ML) models locally trained u
Externí odkaz:
http://arxiv.org/abs/2207.09611
Autor:
Liu, Lingli, Ma, Shiyuan, Xiao, Zhisheng, Li, Jintao, Wang, Yue, Lu, Zhihui, Zhao, Yitao, Guo, Jinshan
Publikováno v:
In Composites Part B September 2024 284
Publikováno v:
In Future Generation Computer Systems September 2024 158:447-456
Autor:
Wang, Jie, Lu, Zhihui, Hu, Lin, Zhong, Runbin, Xu, Cuicui, Yang, Yurui, Zeng, Rensen, Song, Yuanyuan, Sun, Zhongxiang
Publikováno v:
In Pesticide Biochemistry and Physiology August 2024 203