Zeroth-order algorithms for stochastic distributed nonconvex optimization

Author:

Yi Xinlei,Zhang Shengjun,Yang Tao,Johansson Karl H.

Funder

Knut och Alice Wallenbergs Stiftelse

Vetenskapsrådet

Stiftelsen för Strategisk Forskning

International Federation of Automatic Control

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference81 articles.

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2. Bach, F., & Perchet, V. (2016). Highly-smooth zero-th order online optimization. In Conference on learning theory (pp. 257–283).

3. Balasubramanian, K., & Ghadimi, S. (2018). Zeroth-order (non)-convex stochastic optimization via conditional gradient and gradient updates. In Advances in neural information processing systems (pp. 3455–3464).

4. Stochastic three points method for unconstrained smooth minimization;Bergou;SIAM Journal on Optimization,2020

5. Derivative-free method for composite optimization with applications to decentralized distributed optimization;Beznosikov;IFAC-PapersOnLine,2020

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