AB/Push-Pull method for distributed optimization in time-varying directed networks
Author:
Affiliation:
1. School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA
Funder
Office of Naval Research
Publisher
Informa UK Limited
Subject
Applied Mathematics,Control and Optimization,Software
Link
https://www.tandfonline.com/doi/pdf/10.1080/10556788.2023.2261602
Reference38 articles.
1. Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling
2. Dynamics based privacy preservation in decentralized optimization;Gao H.;Automatica,2023
3. Distributed Strategies for Generating Weight-Balanced and Doubly Stochastic Digraphs
4. H. Li and Z. Lin Accelerated gradient tracking over time-varying graphs for decentralized optimization arXiv preprint arXiv:2104.02596 (2021).
5. Network Newton Distributed Optimization Methods
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1. A Linear Push-Pull Average Consensus Algorithm for Delay-Prone Networks;2024 European Control Conference (ECC);2024-06-25
2. Privacy-Preserving Push-Pull Method for Decentralized Optimization via State Decomposition;IEEE Transactions on Signal and Information Processing over Networks;2024
3. Distributed Stochastic Optimization with Gradient Tracking over Time- Varying Directed Networks;2023 57th Asilomar Conference on Signals, Systems, and Computers;2023-10-29
4. Distributed Constrained Optimization Over Unbalanced Time-Varying Digraphs: A Randomized Constraint Solving Algorithm;IEEE Transactions on Automatic Control;2023
5. Decentralized Convex Optimization over Time-Varying Graphs;Encyclopedia of Optimization;2023
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