An Edge-based Stochastic Proximal Gradient Algorithm for Decentralized Composite Optimization
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Control, Automation and Systems"
DOI: 10.1007/s12555-020-0483-9
Abstract: Abstract In this patentan edge-based stochastic proximal gradient algorithm is developed to solve decentralized composite optimization problems involving a common non-smooth regulariza tion term over an undirected and connected network. Especially, when the decentralized composite… read more here.
Keywords: based stochastic; edge based; composite optimization; decentralized composite ... See more keywords
Central composite optimization of ocular mucoadhesive cubosomes for enhanced bioavailability and controlled delivery of voriconazole
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Drug Delivery Science and Technology"
DOI: 10.1016/j.jddst.2020.102075
Abstract: Abstract This study aimed to formulate and statistically optimize cubosomal formulations loaded with voriconazole to enhance and control its ocular bioavailability. The independent variables of the employed central composite face-centered design were the percentages of… read more here.
Keywords: bioavailability; central composite; formulation; drug ... See more keywords
Graph Simplification-Aided ADMM for Decentralized Composite Optimization
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2019.2953538
Abstract: In this article, we consider the problem of decentralized composite optimization over a connected and symmetric graph, in which each node holds its own agent-specific private convex functions, and communications are only allowed between nodes… read more here.
Keywords: simplest bipartite; composite optimization; decentralized composite; graph ... See more keywords
Decentralized Dual Operator Splitting for Nonsmooth Composite Optimization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2022.3155287
Abstract: Inspired by the advantages of the decentralized network structure in large-scale data processing and system robustness, this paper considers a fully distributed computation strategy for a nonsmooth composite optimization problem. The goal is to solve… read more here.
Keywords: dual operator; operator splitting; composite optimization; nonsmooth composite ... See more keywords
A Decentralized Stochastic Algorithm for Coupled Composite Optimization With Linear Convergence
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DOI: 10.1109/tsipn.2022.3190743
Abstract: In this article, we consider a multi-node sharing problem, where each node possesses a local smooth function that is further considered as the average of several constituent functions, and the network aims to minimize a… read more here.
Keywords: problem; optimization; decentralized stochastic; composite optimization ... See more keywords
Decentralized Triple Proximal Splitting Algorithm With Uncoordinated Stepsizes for Nonsmooth Composite Optimization Problems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2022.3144187
Abstract: In this article, we consider a class of decentralized nonsmooth composite optimization problems over undirected graphs. The global optimization problem is to minimize the sum of local objective functions consisting of a Lipschitz-differentiable convex function… read more here.
Keywords: composite optimization; algorithm; nonsmooth composite; triple proximal ... See more keywords
Decentralized Primal-Dual Proximal Operator Algorithm for Constrained Nonsmooth Composite Optimization Problems over Networks
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DOI: 10.3390/e24091278
Abstract: In this paper, we focus on the nonsmooth composite optimization problems over networks, which consist of a smooth term and a nonsmooth term. Both equality constraints and box constraints for the decision variables are also… read more here.
Keywords: problems networks; primal dual; composite optimization; algorithm ... See more keywords