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Distributed Weight Selection in Consensus Protocols by Schatten Norm Minimization
Abstract : In this work we study the weight optimization problem for average consensus protocols by reformulating it as a Schatten norm minimization with parameter p. We show that as p approaches infinity, the optimal solution of the Schatten norm induced problem recovers the optimal solution of the original problem. Moreover, by tuning the parameter p in our proposed minimization, we can simply trade-off the quality of the solution (i.e., the speed of convergence) for communication/computation requirements (in terms of number of messages exchanged and volume of data processed). We then propose a distributed algorithm to solve the Schatten norm minimization and we show that it outperforms the other distributed weight selection methods.
https://hal.inria.fr/hal-01257175
Contributor : Giovanni Neglia <>
Submitted on : Friday, January 15, 2016 - 6:55:38 PM
Last modification on : Thursday, September 24, 2020 - 10:22:03 AM
Contributor : Giovanni Neglia <>
Submitted on : Friday, January 15, 2016 - 6:55:38 PM
Last modification on : Thursday, September 24, 2020 - 10:22:03 AM
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