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cs.LG2026
A Multi-Step Inertial ADMM Algorithm for Federated Learning
Hao Li, Qingsong Wang, Xihong Yan +2
Federated learning has recently emerged as an important paradigm for large-scale distributed model training, which can be naturally formulated as a class of distributed learning pr…
cs.LG2025
An Accelerated Alternating Partial Bregman Algorithm for ReLU-based Matrix Decomposition
Qingsong Wang, Yunfei Qu, Chunfeng Cui +1
Despite the remarkable success of low-rank estimation in data mining, its effectiveness diminishes when applied to data that inherently lacks low-rank structure. To address this li…
cs.LG2024
A Momentum Accelerated Algorithm for ReLU-based Nonlinear Matrix Decomposition
Qingsong Wang, Chunfeng Cui, Deren Han
Recently, there has been a growing interest in the exploration of Nonlinear Matrix Decomposition (NMD) due to its close ties with neural networks. NMD aims to find a low-rank matri…