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insight - Distributed Nonconvex Optimization
Distributed Nonconvex Optimization with Gradient-free Iterations and ε-Globally Optimal Solutions
The proposed CPCA algorithm can obtain ε-globally optimal solutions for distributed nonconvex optimization problems with univariate objectives, using gradient-free iterations and efficient communication.
A Mixing-Accelerated Primal-Dual Proximal Algorithm for Distributed Nonconvex Optimization
The author presents the Mixing-Accelerated Primal-Dual Proximal Algorithm (MAP-Pro) for decentralized nonconvex optimization, emphasizing convergence rates and communication efficiency.
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