Abstract: This article studies the distributed aggregative optimization (DAO) problem, wherein each agent’s local objective function depends not only on its own decision variables but also on an ...
Abstract: This article proposes a distributed Lagrange alternating gradient descent (LAGD) algorithm with a fixed step size for constrained optimization over a multiagent communication network.
In a milestone that brings quantum computing tangibly closer to large-scale practical use, scientists at Oxford University Physics have demonstrated the first instance of distributed quantum computing ...
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