Demystifying Model Averaging for Communication-Efficient Federated Matrix Factorization. - Shuai Wang 033; Richard Cornelius Suwandi; Tsung-Hui Chang (ICASSP, 2021)

Gaussian Process Regression with Grid Spectral Mixture Kernel: Distributed Learning for Multidimensional Data. - Richard Cornelius Suwandi; Zhidi Lin; Yiyong Sun; Zhiguo Wang 005; Lei Cheng 003; Feng Yin (FUSION, 2022)

Gaussian Processes with Linear Multiple Kernel: Spectrum Design and Distributed Learning for Multi-Dimensional Data. - Richard Cornelius Suwandi; Zhidi Lin; Feng Yin (CoRR, 2023)