This work investigates the effectiveness of schedule-free methods, developed by A. Defazio et al. (NeurIPS 2024), in nonconvex optimization settings, inspired by their remarkable empirical success in ...
Abstract: Decentralized optimization strategies are helpful for various applications, from networked estimation to distributed machine learning. This paper studies finite-sum minimization problems ...
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Abstract: We study a class of zeroth-order distributed optimization problems, where each agent can control a partial vector and observe a local cost that depends on the joint vector of all agents, and ...
1 Department of Mechanical Engineering, Toyo University, Kawagoe, Japan. 2 Graduate School of Science and Engineering, Toyo University, Kawagoe, Japan. In this study, we estimate the drag force acting ...