With bounded penalty parameters, the proposed ADMM-based algorithm can guarantee to converge. We further prove that the converged solution satisfies the Karush-Kuhn-Tucker conditions of the nonconvex optimization problem. Numerical simulation results confirm the effectiveness of the proposed method....
and the second one adopts a specially designed penalty function, which is based on a piecewise linear function with adjustable slopes. Numerical results show that the resulting DL-aided decoders outperform the original ADMM-penalized decoder for various low density parity check (LDPC) codes with sim...
ADMM-Based TDOA Estimation 来自 Semantic Scholar 喜欢 0 阅读量: 121 作者:Y Zhu,B Deng,A Jiang,X Liu,Y Tang,X Yao 摘要: Accurate estimation of time difference of arrival (TDOA) between sensors is a fundamental problem in various applications of sensor networks. In this paper, a novel ...
ADMM-based Decentralized OPF Problem Meets Stochastic Communication Time Delay In this paper, we study efficient and robust computational methods for solving the security-constrained alternating current optimal power flow (SC-ACOPF) p... J Xu,H Sun,C Dent - 《IEEE Transactions on Smart Grid》 被...
The remainder of this paper is structured as follows. In Section 2, the formulation of the VRPTW is represented based on the state–space–time network. In Section 3, the ADMM-based decomposition framework and solution procedure are presented. Section 4 discusses the convergence and potential exte...
On the robustness of l1-regularized ADMM-based wavefield reconstruction inversion against compressed acquisition sampling InversionFull-waveform inversionSparseClassical full waveform inversion (FWI) is an unconstrained data fitting/parameter estimation problem where the exact solution of the wave equation is ...
AlignQ: Alignment Quantization with ADMM-based Correlation Preservation Ting-An Chen1, De-Nian Yang2,3, Ming-Syan Chen1,3 1Graduate Institute of Electrical Engineering, National Taiwan University, Taiwan 2Institute of Information Science, Academia Sinica, Taiwan 3Resea...
Then, by considering both data utility and resource cost, we formulate an optimization to maximize the backup profit and leverage the alternating direction method of multipliers (ADMM) to design a time-efficient and distributed algorithm. Simulation results show that our ADMM-based algorithm outperform...
The goal of this paper is to provide differential privacy for ADMM-based distributed machine learning. Prior approaches on differentially private ADMM exhibit low utility under high privacy guarantee and assume the objective functions of the learning problems to be smooth and strongly convex. To ...
Bosch AI Research Sauptik Dhar,Mahak Shah在Spark Summit 2017上做了主题为《ADMM based Scalable Machine Learning on Apache Spark》的演讲,就ADMM的优点,ADMML包与实例分析等进行了深入的分享。 https://yq.aliyun.com/download/939?spm=a2c4e.11154804.0.0.6abe6a79Yy6aNn...