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THE STATE KEY LA... [2]
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FedEKT: Ensemble Knowledge Transfer for Model-Heterogeneous Federated Learning
Conference paper
Meihan Wu, Li Li, Tao Chang, Peng Qiao, Cui Miao, Jie Zhou, Jingnan Wang, Xiaodong Zhang. FedEKT: Ensemble Knowledge Transfer for Model-Heterogeneous Federated Learning[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 202971.
Authors:
Meihan Wu
;
Li Li
;
Tao Chang
;
Peng Qiao
;
Cui Miao
; et al.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
|
Submit date:2024/08/29
Federated Learning
Knowledge Transfer
Model Heterogeneity
Can Low-Carbon Technological Innovation Reduce Haze Pollution?—Based on Spatial Econometric Analysis
Journal article
Shunlin Jin, Weidong Wang, Sikandar Ali Qalati, Caijing Zhang, Na Lu, Guyu Zhu, Jiahui Wu. Can Low-Carbon Technological Innovation Reduce Haze Pollution?—Based on Spatial Econometric Analysis[J]. Frontiers in Environmental Science, 2022, 10, 893194.
Authors:
Shunlin Jin
;
Weidong Wang
;
Sikandar Ali Qalati
;
Caijing Zhang
;
Na Lu
; et al.
Favorite
|
TC[WOS]:
8
TC[Scopus]:
9
IF:
3.3
/
3.7
|
Submit date:2022/08/02
Low-carbon Tech-innovation
Haze Pollution
Technological Heterogeneity
Spatial Spillover Effect
Dynamic Spatial Durbin Model
Fusion convolutional neural network-based interpretation of unobserved heterogeneous factors in driver injury severity outcomes in single-vehicle crashes
Journal article
Yu, Hao, Li, Zhenning, Zhang, Guohui, Liu, Pan, Ma, Tianwei. Fusion convolutional neural network-based interpretation of unobserved heterogeneous factors in driver injury severity outcomes in single-vehicle crashes[J]. Analytic Methods in Accident Research, 2021, 30, 100157.
Authors:
Yu, Hao
;
Li, Zhenning
;
Zhang, Guohui
;
Liu, Pan
;
Ma, Tianwei
Favorite
|
TC[WOS]:
27
TC[Scopus]:
27
IF:
12.5
/
12.3
|
Submit date:2021/12/08
Deep Neural Network
Driver Injury Severity
Heterogeneity
Model Interpretation
Seismic attenuation relationship with homogeneous and heterogeneous prediction-error variance models
Journal article
He-Qing Mu, Rong-Rong Xu, Ka-Veng Yuen. Seismic attenuation relationship with homogeneous and heterogeneous prediction-error variance models[J]. Earthquake Engineering and Engineering Vibration, 2014, 13(1), 1-11.
Authors:
He-Qing Mu
;
Rong-Rong Xu
;
Ka-Veng Yuen
Favorite
|
TC[WOS]:
20
TC[Scopus]:
21
IF:
2.6
/
2.6
|
Submit date:2018/11/06
Bayesian Inference
Boore-joyner-fumal Formula
Heterogeneity Variance
Input-dependent Variance
Model Class Selection
Peak Ground Acceleration
Seismic Attenuation