An Information Analysis of Iterative Algorithms for Network Utility Maximization and Strategic Games
T Alpcan, E Nekouei, GN Nair, RJ Evans
IEEE Transactions on Control of Network Systems | IEEE | Published : 2019
A variety of resource allocation problems on networked systems, for example, those in cyber-physical systems or Internet-of-things applications, require distributed solution methods. Modern distributed algorithms usually require bandwidth-limited digital communication between the system and its users, who are often modeled as independent decision makers with individual preferences. This paper presents a quantitative information flow and knowledge gain analysis of decentralized iterative algorithms with bounded trajectories in the context of convex network utility maximization problems and strategic games with a unique Nash equilibrium solution. First, a novel generic framework is introduced ..View full abstract
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Awarded by Australian Research Council
This work was supported by the Australian Research Council Discovery Project under Grant DP140100819.