Convergence of Stochastic PDMM

Conference Paper (2022)
Authors

Sebastian O. Jordan (Student TU Delft)

R. Heusdens (TU Delft - Signal Processing Systems)

Research Group
Signal Processing Systems
Copyright
© 2022 S.O. Jordan, R. Heusdens
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Publication Year
2022
Language
English
Copyright
© 2022 S.O. Jordan, R. Heusdens
Research Group
Signal Processing Systems
Pages (from-to)
111
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Abstract

In this work, we analyse a stochastic version of the primaldual method of multipliers (PDMM), which is a promising algorithm in the field of distributed optimisation. So far, its convergence has been proven for synchronous implementations of the algorithm [1], [2]. Simulations have shown that PDMM also converges if it is implemented asynchronously, having the advantage that there is no need for clock synchronisation between the nodes in a distributed network. Furthermore, a broadcast implementation of asynchronous PDMM can be derived, instead of the usual unicast implementation. This broadcast implementation comes with a number of benefits...

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