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A Novel Centralized Federated Deep Fuzzy Neural Network with Multi-objectives Neural Architecture Search for Epistatic Detection

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成果类型:
期刊论文
作者:
Wu, Xiang*;Zhang, Yong-Ting;Lai, Khin-Wee;Yang, Ming-Zhao;Yang, Ge-Lan;...
通讯作者:
Wu, Xiang;Wang, HH;Yang, GL
作者机构:
[Wang, Huan-Huan; Yang, Ming-Zhao; Wu, Xiang; Wu, X; Zhang, Yong-Ting] Xuzhou Med Univ, Inst Med Informat Secur, Xuzhou 221004, Peoples R China.
[Lai, Khin-Wee; Wu, Xiang; Zhang, Yong-Ting] Univ Malaya, Sch Engn, Kuala Lumpur 55100, Malaysia.
[Yang, Ge-Lan] Hunan City Univ, Dept Informat Sci & Engn, Yiyang 413000, Peoples R China.
通讯机构:
[Wu, X; Wang, HH ] X
[Yang, GL ] H
Xuzhou Med Univ, Inst Med Informat Secur, Xuzhou 221004, Peoples R China.
Hunan City Univ, Dept Informat Sci & Engn, Yiyang 413000, Peoples R China.
语种:
英文
关键词:
Computer architecture;Training;Neural networks;Optimization;Fuzzy systems;Fuzzy logic;Genomics;Deep neural fuzzy network;epistasis detection;federated learning;neural architecture search;particle swarm optimization
期刊:
IEEE Transactions on Fuzzy Systems
ISSN:
1063-6706
年:
2025
卷:
33
期:
1
页码:
94-107
基金类别:
10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 62003291) 10.13039/501100018636-Xuzhou Science and Technology Program (Grant Number: KC22298) Basic Research (Natural Science) Project of Universities in Jiangsu Province (Grant Number: KY11022014) Key projects of the 14th five-year Plan of Education and Science in Jiangsu Province (Grant Number: B/2021/01/62)
机构署名:
本校为通讯机构
院系归属:
信息与电子工程学院
摘要:
Epistasis detection (ED) was widely used for identifying potential risk disease variants in the human genome. A statistically meaningful ED typically requires a more extensive dataset to detect complex disease-associated single nucleotide polymorphisms, but a single institution generally possesses limited genome data. Thus, it is necessary to collect multi-institutional genome data to carry out research together. However, concerns regarding privacy and trustworthiness impede the sharing of massive genome data. Therefore, this article proposes a novel federated ED framework with the sequence pe...

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