4 papers
Distributed and Decentralized Optimization Algorithms via Consensus ALADIN
Xu Du, Jingzhe Wang, Karl H. Johansson +1
Distributed optimization has found widespread applications in smart grids, optimal control, and machine learning. This paper studies distributed consensus optimization. We extend t…
Convergence Theory of Flexible ALADIN for Distributed Optimization
Xu Du, Xiaohua Zhou, Shijie Zhu
The Augmented Lagrangian Alternating Direction Inexact Newton (ALADIN) method is a cutting-edge distributed optimization algorithm known for its superior numerical performance. It…
Cramér-Rao Bound Based Waveform Optimization for MIMO Radar: An Efficient Linear-Proximal Method
Xiaohua Zhou, Xu Du, Yijie Mao
This paper focuses on radar waveform optimization for minimizing the Cramér-Rao bound (CRB) in a multiple-input multiple-output (MIMO) radar system. In contrast to conventional app…
A Bi-level Globalization Strategy for Non-convex Consensus ADMM and ALADIN
Xu Du, Jingzhe Wang, Xiaohua Zhou +1
In this paper, we formally analyze global convergence in the realm of distributed consensus optimization. Current solutions have explored such analysis, particularly focusing on co…