.png){kind=icon}
返回
Regularization-based distributed bilevel nonsmooth optimization over unbalanced graphs
.png){kind=icon}
PRE
AI
DOI：10.1016/j.cnsns.2026.109714.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
• A distributed algorithm with iterative regularization is developed for bilevel optimization problems. • A row-stochastic matrix is employed to address the graph unbalancedness issue. • The gradient Lipschitz continuity assumption is relaxed to the Lipschitz continuity of the objective function.
期刊
IF:
3.8
论文数:
9.2K
被引数:
1.8W
机构
引用论文
.png){kind=icon}
Convergence analysis of subgradient extragradient method with inertial technique for solving variational inequalities and fixed point problems变分不等式和不动点问题的惯性技术次梯度超梯度方法的收敛性分析
PREAI
分享收藏分享收藏An Introduction to Bilevel Optimization: Foundations and applications in signal processing and machine learning二级优化简介: 信号处理和机器学习的基础和应用
OAAI
OAAI分享收藏Distributed Projection Subgradient Algorithm Over Time-Varying General Unbalanced Directed Graphs时变一般不平衡有向图上的分布式投影次梯度算法
PREAI
分享收藏
查看更多内容