Title
Distributed Forward-Backward (Half) Forward Algorithms For Generalized Nash Equilibrium Seeking
Abstract
We present two distributed algorithms for the computation of a generalized Nash equilibrium in monotone games. The first algorithm follows from a forward-backward-forward operator splitting, while the second, which requires the pseudo-gradient mapping of the game to be cocoercive, follows from the forward-backward-half-forward operator splitting. Finally, we compare them with the distributed, preconditioned, forward-backward algorithm via numerical experiments.
Year
DOI
Venue
2020
10.23919/ECC51009.2020.9143676
2020 EUROPEAN CONTROL CONFERENCE (ECC 2020)
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Franci Barbara113.39
Mathias Staudigl200.34
Sergio Grammatico310.70