2 citations · 4 across the 9 of their papers we have counts for
5 papers · 1 filter
A distributed Douglas-Rachford splitting method for solving linear constrained multi-block weakly convex problems
Leyu Hu, Jiaxin Xie, Xingju Cai +1
In recent years, a distributed Douglas-Rachford splitting method (DDRSM) has been proposed to tackle multi-block separable convex optimization problems. This algorithm offers relat…
A simple linear convergence analysis of the randomized reshuffling Kaczmarz method
Deren Han, Jiaxin Xie
The random reshuffling Kaczmarz (RRK) method enjoys the simplicity and efficiency in solving linear systems as a Kaczmarz-type method, whereas it also inherits the practical improv…
Novel clustered federated learning based on local loss
Endong Gu, Yongxin Chen, Hao Wen +2
This paper proposes LCFL, a novel clustering metric for evaluating clients' data distributions in federated learning. LCFL aligns with federated learning requirements, accurately a…
On adaptive stochastic extended iterative methods for solving least squares
Yun Zeng, Deren Han, Yansheng Su +1
In this paper, we propose a novel adaptive stochastic extended iterative method, which can be viewed as an improved extension of the randomized extended Kaczmarz (REK) method, for…
Randomized iterative methods for generalized absolute value equations: Solvability and error bounds
Jiaxin Xie, Hou-Duo Qi, Deren Han
Randomized iterative methods, such as the Kaczmarz method and its variants, have gained growing attention due to their simplicity and efficiency in solving large-scale linear syste…