A Flocking-Based Approach for Distributed Stochastic Optimization

DOI10.1287/opre.2017.1666zbMath1455.90116arXiv1709.07085OpenAlexW2962757173MaRDI QIDQ4969323

Shi Pu, Alfredo Daniel Garcia

Publication date: 5 October 2020

Published in: Operations Research (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1709.07085

zbMATH Keywords

stochastic optimizationflockingdistributed optimization

Mathematics Subject Classification ID

Stochastic programming (90C15)

Related Items

Robust Asynchronous Stochastic Gradient-Push: Asymptotically Optimal and Network-Independent Performance for Strongly Convex Functions ⋮ Swarming for Faster Convergence in Stochastic Optimization ⋮ Distributed stochastic gradient tracking methods

Uses Software

• Boids

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