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An inexact accelerated stochastic ADMM for separable convex optimization
Computational Optimization and Applications, 2022Jianchao Bai +2 more
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Accelerated Variance Reduction Stochastic ADMM for Large-Scale Machine Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Hongying Liu, Yuanyuan Liu, Fanhua Shang
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DP-ADMM: ADMM-Based Distributed Learning With Differential Privacy
IEEE Transactions on Information Forensics and Security, 2020Yanmin Gong, Eric Chan-Tin, Yanmin Gong
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ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020Yan Yang, Huibin Li
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Privacy-Preserving Incremental ADMM for Decentralized Consensus Optimization
IEEE Transactions on Signal Processing, 2020Hao Chen, Vincent Poor, Ming Xiao
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A Distributed Dual Consensus ADMM Based on Partition for DC-DOPF With Carbon Emission Trading
IEEE Transactions on Industrial Informatics, 2020Zhao Yang Dong, Linfeng Yang, Yan Xu
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Plug-and-Play ADMM for Image Restoration: Fixed-Point Convergence and Applications
IEEE Transactions on Computational Imaging, 2017Stanley H. Chan, Omar A Elgendy
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Inertial Proximal ADMM for Linearly Constrained Separable Convex Optimization
SIAM Journal on Imaging Sciences, 2015Caihua Chen +2 more
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Recycled ADMM: Improving the Privacy and Accuracy of Distributed Algorithms
IEEE Transactions on Information Forensics and Security, 2020Xueru Zhang +2 more
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