Distributed algorithms for composite optimization: Unified framework and convergence analysis

J Xu, Y Tian, Y Sun, G Scutari - IEEE Transactions on Signal …, 2021 - ieeexplore.ieee.org
We study distributed composite optimization over networks: agents minimize a sum of
smooth (strongly) convex functions–the agents' sum-utility–plus a nonsmooth (extended …

Decentralized proximal splitting algorithms for composite constrained convex optimization

L Zheng, L Ran, H Li, L Feng, Z Wang, Q Lü… - Journal of the Franklin …, 2022 - Elsevier
This paper concentrates on a class of decentralized convex optimization problems subject to
local feasible sets, equality and inequality constraints, where the global objective function …

Block distributed 3MG algorithm and its application to 3D image restoration

M Chalvidal, E Chouzenoux - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Modern 3D image recovery problems require powerful optimization frameworks to handle
high dimensionality while providing reliable numerical solutions in a reasonable time. In this …

Distributed Primal-Dual Proximal Algorithms for Convex Optimization Involving Three Composite Functions

L Ran, H Li, J Hu, Q Lü, Z Wang, Z Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article develops a novel distributed primal-dua l proximal algorithm (PDPA-Dist) and its
corresponding randomized version (Rand-PDPA-Dist) for solving convex optimization …

Distributed algorithms for scalable proximity operator computation and application to video denoising

F Abboud, M Stamm, E Chouzenoux, JC Pesquet… - Digital Signal …, 2022 - Elsevier
Optimization problems arising in signal and image processing involve an increasingly large
number of variables. In addition to the curse of dimensionality, another difficulty to overcome …

Distributed Optimization for Machine Learning: Guarantees and Tradeoffs

Y Tian - 2021 - search.proquest.com
In the era of big data, the sheer volume and widespread spatial distribution of information
has been promoting extensive research on distributed optimization over networks. Each …

Block Distributed Majorize-Minimize Memory Gradient Algorithm and its application to 3D image restoration

M Chalvidal, E Chouzenoux - arxiv preprint arxiv:2002.02328, 2020 - arxiv.org
Modern 3D image recovery problems require powerful optimization frameworks to handle
high dimensionality while providing reliable numerical solutions in a reasonable time. In this …

[PDF][PDF] Distributed Algorithms for Scalable Proximity Operator Computation and Application to Video Denoising

F Abbouda, M Stammb, E Chouzenouxc, JC Pesquetc… - hal.science
Optimization problems arising in signal and image processing involve an increasingly large
number of variables. In addition to the curse of dimensionality, another difficulty to overcome …