1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2026
Personalized Federated Hierarchical Gaussian Processes for Privacy-Preserving Modeling of Heterogeneous Distributed Systems
Xianjian Xie, Hao Yan
We present Personalized Federated Hierarchical Gaussian Processes (pFedHGP) for probabilistic regression and classification when data are distributed across heterogeneous clients.…
stat.ME2024
Low-Rank Robust Subspace Tensor Clustering for Metro Passenger Flow Modeling
Jiuyun Hu, Ziyue Li, Chen Zhang +2
Tensor clustering has become an important topic, specifically in spatio-temporal modeling, due to its ability to cluster spatial modes (e.g., stations or road segments) and tempora…
cs.LG2023★ 1 cited
Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data
Jiuyun Hu, Naichen Shi, Raed Al Kontar +1
We propose personalized Tucker decomposition (perTucker) to address the limitations of traditional tensor decomposition methods in capturing heterogeneity across different datasets…