Decentralized Optimization

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

    Sep 30, 2026Tomer Alter, Nir Shlezinger, Michael SegalPower AllocationDecentralized Optimization

  2. GUIDE-FBO: Guidance via Uncertainty Intervention and Distributional Exchange for Federated Bayesian Optimization

    Sep 28, 2026Jintao Wei, Chenxi Li, Songhao WangDecentralized OptimizationGaussian Process

  3. Private Decentralized Optimization with Noise Reduction and Bias Correction

    Sep 23, 2026Yizhao Fan, Wenjian Luo, Jiaojiao ZhangDecentralized OptimizationDecentralized Learning

  4. A Distributional Optimisation Perspective on Combining Models in Deep Learning

    Sep 21, 2026Congye Wang, Yan Lin, Zheyang Shen +2Decentralized OptimizationEnsemble

  5. Revisiting Distributed Sign-Based Variance Reduction

    Sep 16, 2026Wei Jiang, Zechao Li, Lijun ZhangDecentralized OptimizationVariance Reduction

  6. 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 FunctionsDecentralized Optimization

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

    Aug 10, 2026Muhammad Faraz Ul Abrar, Nicolò Michelusi, Erik G. LarssonDecentralized OptimizationWeight Decay

  8. Theoretical Foundations of Communication-Efficient, Robust, and Practical Distributed and Federated Optimization

    Aug 6, 2026Grigory MalinovskyFederated LearningDecentralized Optimization

  9. SSTQ:Privacy-Preserving Vector Quantization via Subsampled Stochastic TurboQuant

    Aug 5, 2026Adel Javanmard, David P. Woodruff, Vahab MirrokniResidual Vector QuantizationDecentralized Optimization

  10. Argonaut: Interactive Visual Exploration for Distributed Optimization

    Jul 30, 2026Srijoni Majumdar, Chuhao Qin, Evangelos PournarasAgentic OptimizationDecentralized Optimization

  11. Distributed Constraint Optimization via Online Learning and Iterative Pricing with Application to Large-Scale Satellite Scheduling

    Jul 28, 2026Itai Zilberstein, Pranav Rajbhandari, Steve Chien +1Decentralized OptimizationDynamic Pricing

  12. DQAOA-GPT: AI-Accelerated Distributed Quantum Optimization for Combinatorial Problems

    Jul 22, 2026Seongmin Kim, Abhinav Rijal, Yuri Alexeev +5Quantum Approximate Optimization AlgorithmQuantum Annealing

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

    Jul 19, 2026Jovan Nikolic, Maciej Krzysztof Zuziak, Evangelos PournarasMulti-Agent CoordinationDecentralized Autonomous Organization

  14. Decentralized Gradient Descent: Bottleneck Regimes and Budget Complexity

    Jul 13, 2026Nicolò MichelusiDecentralized OptimizationToken Budget Allocation

  15. Privacy-Aware Collaborative and Distributed Bayesian Optimization

    Jul 13, 2026Aditya Rane, Sathwik Yamana, Paritosh Ramanan +2Decentralized OptimizationBayesian Optimization

  16. Revisiting Decentralized Online Convex Optimization with Compressed Communication

    Jul 2, 2026Hao Zhou, Xiaoyu Wang, Chang Yao +2Decentralized Optimization\Widetilde{\Mathcal{O}}(\Sqrt{T})$ Regret

  17. DUET: Decentralized Bilevel Optimization without Lower-Level Strong Convexity

    Jun 19, 2026Zhen Qin, Zhuqing Liu, Songtao Lu +2Bilevel OptimizationDecentralized Optimization

  18. Operator Calculus for Population-Based Optimization: A Mean-Field Convergence Theory

    Jun 12, 2026Pekka Malo, Lauri Viitasaari, Patrik Nummi +3Decentralized OptimizationMean-Field Limit

  19. Quantized Stochastic Primal-Dual Methods for Distributed Optimization under Relaxed Global Geometry

    Jun 9, 2026Susmit Sarkar, Abhinav Raghuvanshi, Kushal Chakrabarti +1Decentralized OptimizationPrimal-Dual Methods

  20. Scaling Decision-Focused Learning to Large Problems with Lagrangian Decomposition

    Jun 7, 2026Stéphane Eilles-Chan Way, Hugo Percot, Quentin Cappart +2Linear ProgrammingDecentralized Optimization

  21. Self-evolving LLM agents with in-distribution Optimization

    Jun 5, 2026Yudi Zhang, Meng Fang, Zhenfang Chen +1On-Policy Self-EvolutionSelf-Evolving Agents

  22. Near-Optimal Decentralized Stochastic Convex Optimization over Networks

    Jun 3, 2026Nitai Kluger, Amit Attia, Tomer KorenDecentralized OptimizationStochastic Convex Optimization

  23. IDO: Incongruity-aware Distribution Optimization for Multimodal Fake News Detection

    Jun 2, 2026Hengyang Zhou, Rongman Hong, Yuxuan Zhou +2Fake News DetectionCross-Modal Conflicts

  24. A Note on Stability for Orthogonalized Matrix Momentum with Client Sampling

    Jun 1, 2026Da Chang, Qiankun Shi, Lvgang Zhang +2Decentralized OptimizationOptimal Sample Complexity

  25. A Tight Theory of Error Feedback Algorithms in Distributed Optimization

    May 29, 2026Daniel Berg Thomsen, Adrien Taylor, Aymeric DieuleveutDecentralized OptimizationConvergence

  26. Efficient Gradient Methods for Distributed Saddle Problems

    May 18, 2026Ruichen Luo, Anton Rodomanov, Sebastian U. StichDecentralized OptimizationPrimal-Dual Methods

  27. ADKO: Agentic Decentralized Knowledge Optimization

    May 8, 2026Lucas Nerone Rillo, Zhanhong Jiang, Nastaran Saadati +4Agentic OptimizationBlack-Box Optimization

  28. Orth-Dion: Eliminating Geometric Mismatch in Distributed Low-Rank Spectral Optimization

    May 7, 2026Tatsuhiro Nakamori, Laura Gomezjurado Gonzalez, Ganesh Talluri +5Low-Rank StructureSpectral Representation Method

  29. Decentralized Time-Varying Optimization for Streaming Data via Temporal Weighting

    May 7, 2026Muhammad Faraz Ul Abrar, Nicolò Michelusi, Erik G. LarssonDecentralized OptimizationWeight Decay

  30. SignMuon: Communication-Efficient Distributed Muon Optimization

    May 4, 2026Neel Mishra, Kushagara Trivedi, Pawan KumarMuonDecentralized Optimization

  31. High-Probability Convergence in Decentralized Stochastic Optimization with Gradient Tracking

    Apr 30, 2026Aleksandar Armacki, Haoyuan Cai, Ali H. SayedDecentralized OptimizationStochastic Gradient Descent

  32. Multi-Task Optimization over Networks of Tasks

    Apr 23, 2026Julian Hatzky, Thomas Bartz-Beielstein, A. E. Eiben +1Multi--Task LearningDecentralized Optimization

  33. Optimal Routing for Federated Learning over Dynamic Satellite Networks: Tractable or Not?

    Apr 21, 2026Yi Zhao, Di Yuan, Tao Deng +2Federated LearningMultiple Satellite Systems

  34. Optimizing Stochastic Gradient Push under Broadcast Communications

    Apr 16, 2026Tuan Nguyen, Ting HeDecentralized OptimizationStochastic Gradient Descent

  35. First-Order Softmax Weighted Switching Gradient Method for Distributed Stochastic Minimax Optimization with Stochastic Constraints

    Mar 6, 2026Zhankun Luo, Antesh Upadhyay, Sang Bin Moon +1Decentralized OptimizationStochastic Optimization

  36. Distributed Dynamic Associative Memory via Online Convex Optimization

    Nov 28, 2025Bowen Wang, Matteo Zecchin, Osvaldo SimeoneDecentralized OptimizationDense Associative Memory

  37. Leveraging Discrete Function Decomposability for Scientific Design

    Nov 4, 2025James C. Bowden, Sergey Levine, Jennifer ListgartenOptimal DesignDecentralized Optimization

  38. Decentralized Projection-free Online Upper-Linearizable Optimization with Applications to DR-Submodular Optimization

    Jan 30, 2025Yiyang Lu, Mohammad Pedramfar, Vaneet AggarwalDecentralized OptimizationConvex Optimization