Decentralized Optimization

Overview

Decentralized optimization studies how networked agents can jointly minimize an objective or coordinate decisions while each uses local data and communicates with neighbors rather than relying on a central coordinator. Common approaches include gossip and consensus, decentralized stochastic gradient descent with gradient tracking, primal-dual and ADMM methods, and local updates paired with compressed or intermittent communication. These methods are tested in settings such as image and language-model training, online and bilevel learning, power systems, and multi-robot estimation. A central challenge is balancing communication cost, network topology, data heterogeneity, and robustness against noise or adversaries while retaining fast convergence and reliable solutions.

Latest papers

CardsList

60 papers15 papers in the last four weeks, up 150% on the four weeks before. 0.1% of all new papers.

  1. On the Limits of Stochastic Push-Pull over Time-Varying Digraphs

    Oct 23, 2026Feiming Wang, Yutong He, Sulaiman Alghunaim +1Decentralized OptimizationStochastic Optimization Convergence

  2. Decentralized Bi-Level Optimization for Cooperative Orbital Transportation of a Rigid Payload

    Oct 22, 2026Sidhdharth D. Sikka, Revathy Ravuri, Hei Yin Jowett Chan +2Trajectory OptimizationMulti-Robot Cargo Transportation

  3. Group Distributionally Robust Optimization over Decentralized Networks

    Oct 21, 2026Haomin Bai, Junyan Sun, Quan Cheng +2Group Distributionally Robust OptimizationDistributionally Robust Optimization

  4. Decentralized Online Exp-Concave Optimization

    Oct 18, 2026Hao Qiu, Mengxiao Zhang, Yuanyu WanDecentralized OptimizationOnline Convex Optimization

  5. Multi-Token Random-Walk Learning via Meeting-Triggered Information Exchange

    Oct 10, 2026Taichun Yeh, Xingran ChenDecentralized LearningDecentralized Optimization

  6. Decentralized SGD under Heavy-Tailed Noise: Optimal Convergence Rates and the Role of Gradient Clipping

    Oct 7, 2026Aleksandar Armacki, Haoyuan Cai, Ali H. SayedDecentralized OptimizationStochastic Gradient Descent

  7. Network Intervention by Polling Strategic Agents

    Oct 6, 2026Chenyu Zhang, Rohit Parasnis, Saurabh AminMechanism DesignGame Theory

  8. Towards Decentralized Formation of Minimum-Length Communication Networks Using Robot Swarms

    Oct 5, 2026Genki Miyauchi, Mohamed S. Talamali, Julian Rau +1Swarm RoboticsCombinatorial Optimization

  9. Dimension-Free Decentralized Nonsmooth Nonconvex Stochastic Optimization

    Oct 5, 2026Yuanyu Wan, Lan Xue, Haomin Bai +2Nonconvex Stochastic OptimizationDecentralized Optimization

  10. Scalar Communication via Random Direction Refreshing for Distributed Optimization

    Oct 5, 2026Mohammadreza Rostami, Solmaz S. KiaDistributed OptimizationDecentralized Optimization

  11. From Mixing to Tearing: Graph Decomposition in Decentralized Optimization via Message Passing

    Oct 2, 2026Kuangyu Ding, Gesualdo ScutariDecentralized OptimizationPrimal-Dual Optimization

  12. Decentralized Power-Optimal Coordination for Spacecraft Swarms Using Time-Varying Magnetorquer Actuation

    Oct 1, 2026Yuta Takahashi, Shin-ichiro SakaiMulti-Agent CoordinationFeedback Control

  13. MANET-GNN: Learned Decentralized Optimization of Power Allocation in Multi-Channel MANETs

    Sep 30, 2026Tomer Alter, Nir Shlezinger, Michael SegalGraph Neural NetworksWireless Communications

  14. Decentralized Optimization with Cross-Coupled Mixed Affine Constraints

    Sep 26, 2026Ewsey Obzherin, Ilya Khomchenko, Natalia Shelegeda +4Decentralized OptimizationConstrained Optimization

  15. Private Decentralized Optimization with Noise Reduction and Bias Correction

    Sep 23, 2026Yizhao Fan, Wenjian Luo, Jiaojiao ZhangDifferential PrivacyVariance Reduction

  16. ZO-COSMO: Index-Free One-Hop Mixing for Decentralized Zeroth-Order Optimization

    Sep 23, 2026Shengjun Zhang, Tingyi Liu, Heng Zhang +1Communication-Efficient Distributed TrainingMulti-Agent Consensus

  17. Curvature-Independent Regret Bounds for Distributed Online Optimization on Hadamard Manifolds

    Sep 12, 2026Zhanyuan Cai, Emre Sahinoglu, Shahin ShahrampourRiemannian OptimizationDecentralized Optimization

  18. Dec-BFTRL: Squre-Root Regret for Decentralized Online Upper-Linearizable Optimization under Separation Access with Application to Continuous Submodular Maximization

    Aug 31, 2026Yiyang Lu, Mohammad Pedramfar, Vaneet AggarwalSubmodular OptimizationFollow-the-Regularized-Leader

  19. Resilient Decentralized Wireless Federated Learning via Gradient Tracking with AdamW

    Aug 26, 2026Nguyen Van Thieu, Ti Ti Nguyen, Ons Aouedi +2Decentralized LearningCommunication-Efficient Distributed Training

  20. Distributed Optimization with Streaming Data: A Temporal Weighting Perspective

    Aug 10, 2026Muhammad Faraz Ul Abrar, Nicolò Michelusi, Erik G. LarssonOnline Convex OptimizationDecentralized Optimization

  21. Argonaut: Interactive Visual Exploration for Distributed Optimization

    Jul 30, 2026Srijoni Majumdar, Chuhao Qin, Evangelos PournarasMulti-Agent System OptimizationVisual Analytics

  22. Distributed Convolutional Rank Regression over Decentralized Networks

    Jul 26, 2026Chunjing Li, Tiange Zhao, Xiaohui YuanDecentralized LearningDecentralized Optimization

  23. Decentralized Online Riemannian Optimization for Strongly Geodesically Convex Functions

    Jul 22, 2026Zhanyuan Cai, Emre Sahinoglu, Shahin ShahrampourOnline Convex OptimizationRiemannian Optimization

  24. The Optimization Trilemma: Efficiency, Comfort and Fairness in Decentralized Multi-agent Coordination

    Jul 19, 2026Jovan Nikolic, Maciej Krzysztof Zuziak, Evangelos PournarasMulti-Agent CoordinationFair Resource Allocation

  25. Decentralized Gradient Descent: Bottleneck Regimes and Budget Complexity

    Jul 13, 2026Nicolò MichelusiDistributed OptimizationStochastic Optimization Convergence