10 papers
Decentralized Linearized Consensus ADMM with Efficient Quantized Communication
Boyu Han, Xu Du, Karl H. Johansson +1
Distributed optimization offers significant advantages over centralized methods in terms of scalability and robustness when solving large-scale problems. In this paper, we propose…
CADMM-Prox: A Bi-level Consensus ADMM for Non-smooth Non-convex Distributed Consensus Optimization
Xu Du, Shuting Wu, Karl H. Johansson +1
Non-smooth and non-convex optimization problems are pervasive in machine learning, control, and signal processing, due to the need for sparse solutions and the inherently non-conve…
Distributed Optimization with Nesterov Momentum and Finite-Time Quantized Averaging over Directed Networks: Extended Version
Ruochen Wu, Xu Du, Karl H. Johansson +2
In modern large-scale networked systems, rapidly solving optimization problems while utilizing communication resources efficiently is critical for addressing complex tasks. However…
Lightweight Real-Time ALADIN for Distributed Optimization
Yifei Wang, Xuhui Feng, Shimin Pan +3
This paper presents a real-time computational framework for multi-node distributed optimization by extending the Augmented Lagrangian Alternating Direction Inexact Newton (ALADIN)…
Mix-CALADIN: A Distributed Algorithm for Consensus Mixed-Integer Optimization
Boyu Han, Xu Du, Karl H. Johansson +1
This paper addresses distributed consensus optimization problems with mixed-integer variables, with a specific focus on Boolean variables. We introduce a novel distributed algorith…
Affine-coupled Distributed Optimization via Distributed Proximal Jacobian ADMM with Quantized Communication
Xu Du, Boyu Han, Ivano Notarnicola +2
This paper investigates distributed resource allocation optimization over directed graphs with limited communication bandwidth. We develop a novel distributed algorithm that integr…
Decentralized Optimization via RC-ALADIN with Efficient Quantized Communication
Xu Du, Karl H. Johansson, Apostolos I. Rikos
In this paper, we investigate the problem of decentralized consensus optimization over directed graphs with limited communication bandwidth. We introduce a novel decentralized opti…
Distributed Consensus Optimization with Consensus ALADIN
Xu Du, Jingzhe Wang
TThe paper proposes the Consensus Augmented Lagrange Alternating Direction Inexact Newton (Consensus ALADIN) algorithm, a novel approach for solving distributed consensus optimizat…
A Time Splitting Based Optimization Method for Nonlinear MHE
Shuting Wu, Yifei Wang, Jingzhe Wang +2
Moving Horizon Estimation~(MHE) is essentially an optimization-based approach designed to estimate the states of dynamic systems within a moving time horizon. Traditional MHE solut…
ALADIN-: A Distributed Optimization Algorithm for Solving MPCC Problems
Yifei Wang, Shuting Wu, Genke Yang +3
Mathematical Programs with Complementarity Constraints (MPCC) are critical in various real-world applications but notoriously challenging due to non-smoothness and degeneracy from…