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An inexact accelerated stochastic ADMM for separable convex optimization

Computational Optimization and Applications, 2022
Jianchao Bai   +2 more
exaly  

Accelerated Variance Reduction Stochastic ADMM for Large-Scale Machine Learning

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Hongying Liu, Yuanyuan Liu, Fanhua Shang
exaly  

DP-ADMM: ADMM-Based Distributed Learning With Differential Privacy

IEEE Transactions on Information Forensics and Security, 2020
Yanmin Gong, Eric Chan-Tin, Yanmin Gong
exaly  

ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
Yan Yang, Huibin Li
exaly  

Privacy-Preserving Incremental ADMM for Decentralized Consensus Optimization

IEEE Transactions on Signal Processing, 2020
Hao Chen, Vincent Poor, Ming Xiao
exaly  

DS-ADMM++: A Novel Distributed Quantized ADMM to Speed up Differentially Private Matrix Factorization

IEEE Transactions on Parallel and Distributed Systems, 2022
Albert Zomaya, Ruixin Guo
exaly  

A Distributed Dual Consensus ADMM Based on Partition for DC-DOPF With Carbon Emission Trading

IEEE Transactions on Industrial Informatics, 2020
Zhao Yang Dong, Linfeng Yang, Yan Xu
exaly  

Plug-and-Play ADMM for Image Restoration: Fixed-Point Convergence and Applications

IEEE Transactions on Computational Imaging, 2017
Stanley H. Chan, Omar A Elgendy
exaly  

Inertial Proximal ADMM for Linearly Constrained Separable Convex Optimization

SIAM Journal on Imaging Sciences, 2015
Caihua Chen   +2 more
exaly  

Recycled ADMM: Improving the Privacy and Accuracy of Distributed Algorithms

IEEE Transactions on Information Forensics and Security, 2020
Xueru Zhang   +2 more
exaly  

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