Results 11 to 20 of about 3,661,069 (207)
Distributed optimization with inexact oracle [PDF]
Kybernetika, 2022 13 pages, 3 ...
Kui Zhu, Yichen Zhang, Yutao Tang
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An Accelerated Method For Decentralized Distributed Stochastic Optimization Over Time-Varying Graphs [PDF]
, 2022 We consider a distributed stochastic optimization problem that is solved by a decentralized network of agents with only local communication between neighboring agents. The goal of the whole system is to minimize a global objective function given as a sum
Dvurechensky, Pavel +4 more
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Distributed Optimization Algorithm for Composite Optimization Problems with Non-Smooth Function
Mathematics, 2022 This paper mainly studies the distributed optimization problems in a class of undirected networks. The objective function of the problem consists of a smooth convex function and a non-smooth convex function.
Yawei Shi +3 more
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On Consensus-Optimality Trade-offs in Collaborative Deep Learning
Frontiers in Artificial Intelligence, 2021 In distributed machine learning, where agents collaboratively learn from diverse private data sets, there is a fundamental tension between consensus and optimality.
Zhanhong Jiang +3 more
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Distributed Optimization With Coupling Constraints
IEEE Transactions on Automatic Control, 2023 16 pages, 4 ...
Xuyang Wu 0001 +2 more
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IEEE Access, 2021 The optimization problem for scheduling distributed energy resources (DERs) and battery energy storage systems (BESS) integrated with the power grid is important to minimize energy consumption from conventional sources in response to demand ...
Chinmay Shah +2 more
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Optimal Algorithms for Distributed Optimization
CoRR, 2017 In this paper, we study the optimal convergence rate for distributed convex optimization problems in networks. We model the communication restrictions imposed by the network as a set of affine constraints and provide optimal complexity bounds for four different setups, namely: the function $F(\xb) \triangleq \sum_{i=1}^{m}f_i(\xb)$ is strongly convex ...
César A. Uribe +3 more
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Optimization Services: A Framework for Distributed Optimization [PDF]
Operations Research, 2010 We describe a research project to design a distributed optimization environment in which solvers, modeling languages, registries, analyzers, and simulation engines can be implemented as services and utilities under a unified framework. Our work, which we call optimization services or OS, defines standards for all activities necessary to support ...
Robert Fourer, Jun Ma, R. Kipp Martin
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Optimization of Distributions Differences for Classification [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2019 In this paper we introduce a new classification algorithm called Optimization of Distributions Differences (ODD). The algorithm aims to find a transformation from the feature space to a new space where the instances in the same class are as close as possible to one another while the gravity centers of these classes are as far as possible from one ...
Mohammad Reza Bonyadi +2 more
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Replication Data for: eSLP optimization algorithm
, 2023 m-files implementing the eSLP optimization algorithm for the three simulations (3.1. - 3.3.) described in the associated paper. File README.txt contains analytical directions regarding requirements, how to verify the results and videos generated by the ...
Optimization, eSLP
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