Existing asynchronous distributed optimization algorithms often use diminishing step-sizes
that cause slow practical convergence, or use fixed step-sizes that depend on and decrease …

Distributed nonconvex optimization problems underlie many applications in learning and
autonomy, and such problems commonly face asynchrony in agents' computations and …

Peer-to-peer (P2P) trading is seen as a viable solution to handle the growing number of
distributed energy resources in distribution networks. However, when dealing with large …

The topic of this dissertation is the distributed computation of Generalized Nash Equilibria
(GNEs) in multi-agent games with network structure. In particular, we design and analyze …