A Unifying Approximate Method of Multipliers for Distributed Composite Optimization
Author:
Affiliation:
1. Division of Decision and Control Systems, KTH Royal Institute of Technology, Stockholm, Sweden
2. School of Information Science and Technology, ShanghaiTech University, Shanghai, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9/10084346/09770342.pdf?arnumber=9770342
Reference37 articles.
1. A Bregman Splitting Scheme for Distributed Optimization Over Networks
2. A Proximal Gradient Algorithm for Decentralized Composite Optimization
3. Mirror descent and nonlinear projected subgradient methods for convex optimization
4. Fenchel Dual Gradient Methods for Distributed Convex Optimization Over Time-Varying Networks
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