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A Hybrid ISSA-XGBoost Model for Predicting Wellbore Leakage. [PDF]
Sensors (Basel)Bai K +5 more
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Hierarchical coordinated scheduling algorithm for reactive power and voltage in cross-regional power grids based on multi-agent reinforcement learning. [PDF]
PLoS OneLin Z, Zhang X, Ren Z, Shao Y, Chen Y.
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Distributed Optimization for Control
Annual Review of Control, Robotics, and Autonomous Systems, 2018Advances in wired and wireless technology have necessitated the development of theory, models, and tools to cope with the new challenges posed by large-scale control and optimization problems over networks. The classical optimization methodology works under the premise that all problem data are available to a central entity (a computing agent or node).
Angelia Nedich
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Distributed optimization of codebooks
Signal Processing: Image Communication, 1995Abstract Nowadays, many computer facilities are constituted by a network of general-purpose workstations. The aim of this paper is to show how to combine the available resources of this network in order to deal efficiently with time-consuming image processing algorithms.
Patrick Piscaglia +2 more
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International Joint Conference on Autonomous Agents and Multiagent Systems, 2018
We consider the problem of how a buyer can optimize his utility if he can choose his own valuation distribution in a prior-dependent auction, such as the revenue-optimal auction. The problem is motivated by and equivalent to a type of the market segmentation problem, where a principal tries to select a subset of agents (i.e., a market segment) from the
Weiran Shen, Pingzhong Tang, Yulong Zeng
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We consider the problem of how a buyer can optimize his utility if he can choose his own valuation distribution in a prior-dependent auction, such as the revenue-optimal auction. The problem is motivated by and equivalent to a type of the market segmentation problem, where a principal tries to select a subset of agents (i.e., a market segment) from the
Weiran Shen, Pingzhong Tang, Yulong Zeng
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Approximations in Distributed Optimization
2005We present a parameterized approximation scheme for distributed combinatorial optimization problems based on dynamic programming. The algorithm is a utility propagation method and requires a linear number of messages. For exact computation, the size of the largest message is exponential in the width of the constraint graph.
Petcu, Adrian, Faltings, Boi
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Encoded distributed optimization
2017 IEEE International Symposium on Information Theory (ISIT), 2017Today, many real-world machine learning and data analytics problems are of a scale that requires distributed optimization; unlike in centralized computing, these systems are vulnerable to network and node failures. Recently, coding-theoretic ideas have been applied to mitigate node failures in such distributed computing networks.
Can Karakus +2 more
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