no code implementations • 18 Apr 2024 • Yukai Cai, Hang Liu, XiuLin Wang, Hongjin Li, Ziyi Wang, Chuanshuai Yang, FengYu Cong
In view of this, this study proposes to study and develop a series of efficient non-negative coupled tensor decomposition algorithm frameworks based on federated learning called FCNCP for the EEG data arranged on different servers.
no code implementations • 10 Feb 2023 • XiuLin Wang, Tapani Ristaniemi, FengYu Cong
Nonnegative tensor decomposition has been widely applied in signal processing and neuroscience, etc.
1 code implementation • 24 Oct 2022 • Carla Schenker, XiuLin Wang, Evrim Acar
Coupled matrix and tensor factorizations (CMTF) have emerged as an effective data fusion tool to jointly analyze data sets in the form of matrices and higher-order tensors.