Conference Proceedings

Quantization design for distributed optimization with time-varying parameters

Y Pu, MN Zeilinger, CN Jones

2015 54th IEEE Conference on Decision and Control (CDC) | Published : 2015

Abstract

We consider the problem of solving a sequence of distributed optimization problems with time-varying parameters and communication constraints, i.e. only neighbour-to-neighbour communication and a limited amount of information exchanged. By extending previous results and employing a warm-starting strategy, we propose an on-line algorithm for solving optimization problems under the given constraints and show that there exists a trade-off between the number of iterations for solving each problem in the sequence and the accuracy achieved by the algorithm. For a given accuracy ?, we can find a number of iterations K, which guarantees that for the sequential realization of the parameter, the sub-o..

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University of Melbourne Researchers

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