Abstract: This paper introduces a distributed finite-time optimization approach for convex optimization with time-varying cost function in multi-agent systems under an undirected and connected ...

An examination of the emerging antitrust risks associated with the rise of AI, including the state of US regulation and key antitrust enforcement concerns.

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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.