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09/07/2023
Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data
We propose personalized Tucker decomposition (perTucker) to address the ...
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05/28/2023
Heterogeneous Matrix Factorization: When Features Differ by Datasets
In myriad statistical applications, data are collected from related but ...
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05/24/2023
Personalized Dictionary Learning for Heterogeneous Datasets
We introduce a relevant yet challenging problem named Personalized Dicti...
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08/20/2022
Adam Can Converge Without Any Modification on Update Rules
Ever since Reddi et al. 2018 pointed out the divergence issue of Adam, m...
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07/17/2022
Personalized PCA: Decoupling Shared and Unique Features
In this paper, we tackle a significant challenge in PCA: heterogeneity. ...
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11/09/2021
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning
The Internet of Things (IoT) is on the verge of a major paradigm shift. ...
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07/21/2021
Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning
In this paper we propose Fed-ensemble: a simple approach that bringsmode...
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02/15/2021
