Distributed Momentum-Based Frank-Wolfe Algorithm for Stochastic Optimization
Author:
Affiliation:
1. National Key Laboratory of Autonomous Intelligent Unmanned Systems, School of Automation, Beijing Institute of Technology,Beijing,China,100081
2. School of Electronic and Information Engineering, Tongji University,Shanghai,China,200082
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Information Systems,Control and Systems Engineering,Control and Optimization
Link
http://xplorestaging.ieee.org/ielx7/6570654/10057126/09878290.pdf?arnumber=9878290
Reference47 articles.
1. Distributed Stochastic Consensus Optimization With Momentum for Nonconvex Nonsmooth Problems
2. Distributed optimization with projection-free dynamics;chen;ArXiv Preprint,2021
3. Asymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning: Examining Distributed and Centralized Stochastic Gradient Descent
4. Decentralized Frank–Wolfe Algorithm for Convex and Nonconvex Problems
5. Synchronous Parallel Block Coordinate Descent Method for Nonsmooth Convex Function Minimization
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