Comparing Decentralized Gradient Descent Approaches and Guarantees
Author:
Affiliation:
1. Iowa State University,Ames,IA,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096994.pdf?arnumber=10096994
Reference20 articles.
1. Decentralized Constrained Optimization: Double Averaging and Gradient Projection
2. Projected gradient method for decentralized optimization over time-varying networks;rogozin,2019
3. On the Convergence of Decentralized Gradient Descent
4. Distributed Subgradient Methods for Convex Optimization Over Random Networks
5. A fast randomized incremental gradient method for decentralized non-convex optimization;xin;IEEE Transactions on Automatic Control,2021
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