This thesis aims to understand the dynamics of complex networked systems, and coordinate their learning components toward achieving a desired global objective, emphasizing the resource sustainability aspects. In doing so, we consider three different social levels: First, the macroscopic level referring to the system as a whole; Second, the mesoscopic level relating to the clusters of the components; Third, the microscopic level relating to the individual components. Our focus lies in both non-asymptotic theoretical guarantees and numerical investigations.
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This thesis aims to understand the dynamics of complex networked systems, and coordinate their learning components toward achieving a desired global objective, emphasizing the resource sustainability aspects. In doing so, we consider three different social levels: First, the macroscopic level referring to the system as a whole; Second, the mesoscopic level relating to the clusters of the components; Third, the microscopic level relating to the individual components. Our focus lies in both non-...
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