Randomized Algorithms for Distributed Nonlinear Optimization Under Sparsity Constraints

Distributed optimization in multi-agent systems under sparsity constraints has recently received a lot of attention. In this paper, we consider the in-network minimization of a continuously differentiable nonlinear function which is a combination of local agent objective functions subject to sparsit...

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