Distributed Optimization

Momentum

11 papers in the last four weeks, up 267% on the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 48

All topics
CardsList
  1. DuoMind: Enabling Distributed Multi-Robot Coordination with Semantic Communication

    Oct 1, 2026Hanchu Zhou, Dechen Gao, Hang Wang +5Multi-Robot SystemsDistributed Optimization

  2. Unapologetically Distributed: A Call for Decentralized Document Analysis

    Sep 30, 2026Adrià Molina, Oriol Ramos Terrades, Josep LladósFederated LearningOut-Of-Distribution

  3. RLX: A Unified Multi-Backend Tensor Compiler and Distributed Runtime in Rust

    Sep 29, 2026Eugene Hauptmann, Nataliya KosmynaDistributed OptimizationCodebases

  4. Reactive Real-Time Flow Policies via Asynchronous Distribution Alignment

    Sep 29, 2026Moritz Zoellner, Reece O'Mahoney, Ioannis Havoutis +1Asynchronous ExecutionRobot Policies

  5. CoMemBench: Benchmarking Collaborative Memory Boundaries across Multi-Agent Workflow Topologies

    Sep 26, 2026Sen Zhao, Ruiqi Kong, Zuyu Zhang +5Multi-Agent WorkflowsMulti-Agent Coordination

  6. COIN-GP: Cooperative Online Learning in Networked Distributed Systems with Partial Measurements via Gaussian Process Regression

    Sep 17, 2026Zewen Yang, Xiaobing Dai, Zhenxiao Yin +3Gaussian ProcessState Estimation

  7. Learning from Distributed Eyes: Leveraging Collaborative Perception for Automated Model Adaptation

    Sep 16, 2026Yanan Ma, Yihang Tao, Zhengru Fang +4Collaborative PerceptionParameter-Efficient Adaptation

  8. Agora: Git as Shared Memory for Collective AutoResearch

    Sep 16, 2026Yifan Zhang, Yunheng Zou, Shaokun Zhang +5CommitsDistributed Optimization

  9. CEAA: A Cognitive Embodied Agents Architecture for Interactive Computing Systems

    Aug 10, 2026Aimilios Hadjiliasi, Louis NisiotisEmbodied AgentsCognitive Science

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

    Aug 6, 2026Grigory MalinovskyFederated LearningDecentralized Optimization

  11. Using Non-Lipschitz Signum-based Functions for Distributed Optimization and Machine Learning: Trade-off Between Con-vergence Rate and Optimality Gap

    Aug 2, 2026Mohammadreza Doostmohammadian, Amir Ahmad Ghods, Alireza Aghasi +2Lipschitz ContinuityConvergence

  12. OrEdge: Efficient Multi-Modal Anomaly Detection in Distributed Software Systems via Orthogonal-Domain Learning

    Jul 31, 2026Amr M. Zaki, Farhoud Jafari Kaleibar, Honggeun Ji +2Multimodal Anomaly DetectionDistributed Optimization

  13. The AnyLog Edge Data Fabric

    Jul 30, 2026Roy Shadmon, Mark Davidson, Eric Aquaronne +3Edge PlatformsDistributed Optimization

  14. Argonaut: Interactive Visual Exploration for Distributed Optimization

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

  15. EdgeFaaS: A Function-based Framework for Edge Computing

    Jul 16, 2026Neha Vadnere, Yu-Ting Wang, Yitao Chen +2Edge DevicesIntelligent Edge

  16. Securing LLMs in the Wild: Privacy and Security Challenges at the Edge

    Jul 13, 2026Ren-Yi Huang, Mingchen Li, Dumindu Samaraweera +1Large Language Model SafetyEdge Platforms

  17. Resolving Asynchronous Distributed Knowledge

    Jun 30, 2026Philippe Balbiani, Hans van Ditmarsch, Clara LerouvilloisDistributed OptimizationAxiom

  18. Factored Gossip DiLoCo: Reducing Blocking Communication in DiLoCo

    Jun 22, 2026Chamin Hewa Koneputugodage, Thalaiyasingam Ajanthan, Sameera Ramasinghe +7Distributed OptimizationCpu-Gpu Hybrid Designs

  19. Selective Unit-Cell Actuation in Lattice Structures for Distributed Morphology in Soft Robots

    Jun 17, 2026Trevor Exley, Altair Coutinho, Lucia BeccaiSoft RoboticsActuator

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

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

  21. Unifying Local Communications and Local Updates for LLM Pretraining

    Jun 9, 2026Pietro Cagnasso, Eugene Belilovsky, Edouard OyallonLarge Language Model PretrainingGossip

  22. Brief Announcement: Generative Markov Model for Distributed Computing Systems

    Jun 2, 2026Alfreds Lapkovskis, Ali Beikmohammadi, Sindri Magnússon +1Distributed OptimizationMarkov

  23. Don't Let a Few Network Failures Slow the Entire AllReduce

    Jun 1, 2026Peiqing Chen, Jiedong Jiang, Nengneng Yu +4Cpu-Gpu Hybrid DesignsDistributed Optimization

  24. Quantum Algorithm for Distributed Reduction of Entanglements (QADR): A Trainable and Simulation-Efficient QML Framework

    May 31, 2026Syed Farhan Ahmad, Gregory T. ByrdVariational Quantum CircuitsQuantum Machine Learning

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

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

  26. SQARL: A Size-Agnostic Reinforcement Learning approach for Circuit Allocation in Distributed Quantum Architectures

    May 26, 2026Víctor Carballo, Júlia López-Closa, Mario MartinQuantum ProcessorDistributed Optimization

  27. PrivFusion: A Privacy-preserving Multi-Agent Framework for Harmonizing Distributed Datasets

    May 22, 2026Anisa Halimi, Liubov Nedoshivina, Kieran Fraser +1Federated LearningDistributed Optimization

  28. Optimal Design Framework for Distributed Array Using Magnetically-Actuated Satellite Swarm

    May 22, 2026Seang Shim, Yuta Takahashi, Naoto Usami +1Reconfigurable Intelligent SurfacesOptimal Design

  29. A Prototyping Framework for Distributed Control of Multi-Robot Systems

    May 14, 2026Junaid Ahmed Memon, Allan Andre Do Nascimento, Kostas Margellos +1Multi-Robot SystemsDistributed Optimization

  30. A Fast and Energy-Efficient Latch-Based Memristive Analog Content-Addressable Memory

    May 12, 2026Paul-Philipp Manea, Aishwarya Natarajan, Jim Ignowski +2Reram CrossbarAnalog

  31. Towards Distributed Inference of LLMs on a P2P Network

    May 7, 2026Shabari S Nair, Krishanu SainiLLM Inference OptimizationPeer-To-Peer

  32. Split over nn resource sharing problem: Are fewer capable agents better than many simpler ones?

    Apr 29, 2026Karthik Soma, Mohamed S. Talamali, Genki Miyauchi +3Multi-Agent CommunicationStrategic Agents

  33. Large-Scale Data Parallelization of Product Quantization and Inverted Indexing Using Dask

    Apr 23, 2026Ashley N. Abraham, Andrew Strelzoff, Haley R. Dozier +2Approximate Nearest-Neighbor SearchVector Database

  34. Decoupled DiLoCo for Resilient Distributed Pre-training

    Apr 23, 2026Arthur Douillard, Keith Rush, Yani Donchev +14Distributed OptimizationCpu-Gpu Hybrid Designs

  35. Time, Causality, and Observability Failures in Distributed AI Inference Systems

    Apr 23, 2026Ankur Sharma, Deep Shah, David Lariviere +1Agentic InferenceDistributed Optimization

  36. A Delta-Aware Orchestration Framework for Scalable Multi-Agent Edge Computing

    Apr 22, 2026Samaresh Kumar Singh, Joyjit RoyIntelligent EdgeDistributed Optimization

  37. Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading

    Apr 19, 2026Jianming Tong, Hanshen Xiao, Krishna Kumar Nair +5Virtual RealityPrivacy-Preserving Framework

  38. Scalable AI-assisted Workflow Management for Detector Design Optimization Using Distributed Computing

    Mar 31, 2026Derek Anderson, Amit Bashyal, Markus Diefenthaler +13Distributed OptimizationAgentic Workflows

  39. Decentralized Orchestration Architecture for Fluid Computing: A Secure Distributed AI Use Case

    Mar 12, 2026Diego Cajaraville-Aboy, Ana Fernández-Vilas, Rebeca P. Díaz-Redondo +2Distributed OptimizationOrchestration

  40. Resilient by Design -- Active Inference for Distributed Continuum Intelligence

    Nov 10, 2025Praveen Kumar Donta, Alfreds Lapkovskis, Enzo Mingozzi +1ResilienceDistributed Optimization