Decentralization

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Period ending 2026-09-21

4 new papers

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Period ending 2026-09-14

2 new papers

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Period ending 2026-09-07

3 new papers

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72 papers

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A Decentralized Partially Observable Team Decision Methodology with Delayed Information Sharing
Sep 22, 2026Xiaoxing Ren, Thomas Parisini, Andreas A. MalikopoulosPartially Observable Markov Decision Process Decentralization
PROSE: A Theory of Optimal Stopping with Perishable Evidence for Peer Selection in Intermittently Connected Decentralised Learning
Sep 20, 2026Christos AnagnostopoulosDecentralization Learning-Augmented Algorithms
SAGE: Optimal-Stopping Peer Selection for Decentralised Federated Learning
Sep 20, 2026Ke Xiao, Qiyuan Wang, Christos AnagnostopoulosDecentralization Learning-Augmented Algorithms
CoRe-MARL: Cooperative Redistribution Under Unknown Dynamics Using Recurrent Multi-Agent Reinforcement Learning
Sep 16, 2026Naimur Rahman Chowdhury, Shatabdi Sen Prapti, Md. Salehin Seyam +1Multi-Agent Reinforcement Learning Decentralization
Learning Multi-Humanoid Pickup and Transport via Decentralized Object-Centric Control
Sep 15, 2026Bikram Pandit, Mohitvishnu S. Gadde, Aayam Kumar Shrestha +1Real-World Manipulation Tasks Decentralization
Adapting to Decision-Relevant Non-Stationarity in Decentralized Heterogeneous Bandits
Sep 15, 2026Zhaojun PengLinear Regret Decentralization
Decentralized Evolution of Hexapod Gaits with Independent Leg Controllers
Sep 14, 2026Gary B. Parker, John Asaro, Jim O'ConnorEvolutionary Search Decentralization
Decentralized Safe Multi-Agent Reinforcement Learning via Predictive Shielding
Sep 7, 2026Yacine El Yamani, Hanna Krasowski, Elena VanneauxMulti-Agent Reinforcement Learning Multi-Robot Systems
A Fundamental Limit in Decentralized Decision-Making
Sep 7, 2026Marco Carpentiero, Felice Scala, Vincenzo Matta +1Decentralization Complex Networks
A Case Study on Emergent Cheating and Whistleblowing in Autonomous Research Swarms
Sep 3, 2026Davide Paglieri, Logan Cross, Tim Genewein +3Swarms Multi-Agent Systems
Connectivity-Aware Graph Extension for Decentralized Multi-Robot Exploration
Sep 1, 2026Béatrice Garcia Cegarra, Elena Vanneaux, Quentin Picard +1Multi-Uav Systems Multi-Robot Systems
Provably Safe Decentralized Contingency MPC under State-Only Information and Limited Sensing for Nonlinear Multi-agent Systems
Aug 31, 2026Max Studt, Georg SchildbachModel Predictive Control Decentralization
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 Maximization Decentralization
Defining Decentralization: An Ontological Perspective
Aug 10, 2026Jakub Kacper Szeląg, Aydin Abadi, Mohammad NaseriDecentralization Blockchain
SyncSBC: Decentralized Swarm Behavior Prediction for Synchronized Autonomous Control
Aug 6, 2026Varun Raveendra, Connor Mattson, Daniel S. BrownSwarms Decentralization
Joint UAV Flight and Opportunistic Routing under Reinforcement Learning for Delay-Tolerant Networks
Aug 5, 2026Xiao Wang, Shun-Ren YangMulti-Uav Systems Wireless Resource Allocation
FedRings: A Scalable and Topology-Aware Federated Learning Framework for LEO Satellite Constellations
Aug 4, 2026Ziwu Liu, Inês Pinto Gouveia, Rehana Yasmin +2Federated Learning Satellite
Resilient Consensus-Based Target Tracking under False Data Injection Attacks in Multi-Agent Networks
Aug 2, 2026Amir Ahmad Ghods, Mohammadreza DoostmohammadianMulti-Object Tracking Decentralization
Distributed Convolutional Rank Regression over Decentralized Networks
Jul 26, 2026Chunjing Li, Tiange Zhao, Xiaohui YuanKernel Ridge Regression Low-Rank Factorization
Analyzing Toxic Behavior and Its Impact on the Mastodon Community
Jul 24, 2026Pasan Kamburugamuwa, Scrivner, Olga BToxicity Content Moderation
Decentralized Multi-agent Reinforcement Learning for Resilient Critical Infrastructures
Jul 20, 2026Minghui Ding, Evangelos PournarasMulti-Agent Reinforcement Learning Decentralization
AEC-DS: Adaptive Erasure Coding with PDP-Triggered Reputation and QoS-Aware Migration for Decentralized Storage
Jul 20, 2026Shuaiwen Li, Weihang Yu, Ke Wang +1Decentralization Algorithm Auditing
The Optimization Trilemma: Efficiency, Comfort and Fairness in Decentralized Multi-agent Coordination
Jul 19, 2026Jovan Nikolic, Maciej Krzysztof Zuziak, Evangelos PournarasMulti-Agent Coordination Decentralization
Alignment of a Total Automation Economy
Jul 19, 2026David McAllesterEconomies Automated
PAC Learning in Turn-Based Stochastic Games with Reachability Objectives: A Decentralized Private Approach via Expected Conditional Distance
Jul 16, 2026Ali Asadi, Krishnendu Chatterjee, Pavol KebisZero--Sum Differential Game Reachability
Stress-Sharing: A Bio-Inspired Approach to Decentralized Fault Repair in Modular Spacecraft
Jul 15, 2026Sidhdharth D. Sikka, Yue Shen, Shaoshuai MouSpacecraft Decentralization
Decentralised Federated Learning over Temporal Networks: The Role of Heterogeneities
Jul 3, 2026Arash Badie-Modiri, Chiara Boldrini, Lorenzo Valerio +2Federated Learning Heterogeneity
ACPO: Agent-Chained Policy Optimization for Multi-Agent Reinforcement Learning
Jun 29, 2026Daiki E. Matsunaga, Junho Na, Tri Wahyu Guntara +4Multi-Agent Reinforcement Learning Decentralization
Scalability of Morality: A Particle-Based Numerical Study on the Decoupling of Law and Ethics in Large-Scale Populations
Jun 25, 2026Amir Arslan Haghrah, Amir Aslan HaghrahMoral Reasoning Social Dynamics
Decentralized Coordination of Autonomous Traffic Through Advanced Air Mobility Corridors
Jun 22, 2026Jasmine Jerry Aloor, Hamsa BalakrishnanAir Traffic Control Travel Time
DUET: Decentralized Bilevel Optimization without Lower-Level Strong Convexity
Jun 19, 2026Zhen Qin, Zhuqing Liu, Songtao Lu +2Bilevel Optimization Decentralization
Post-Quantum Secure Federated DeFi for Inclusive Banking
Jun 9, 2026Swati Sachan, Dale Fickett, Richard Buchinger +1Post-Quantum Cryptography Homomorphic Encryption
Compositional Generative Modeling from Decentralized Data
Jun 8, 2026Mashrur M. Morshed, Vishnu Naresh BoddetiGenerative Models Decentralization
Model Poisoning Against Federated Model Adaptation with Chain of Bit-Flips
Jun 8, 2026Bastien Vuillod, Kevin Hector, Pierre-Alain Moellic +2Federated Learning Backdoor Attacks
Performance Evaluation of Social Learning
Jun 8, 2026Felice Scala, Marco Carpentiero, Vincenzo Matta +1Complex Networks Equal Error Rate
Improved Convergence Analysis of Topology Dependence in Decentralized SGD
Jun 8, 2026Yuki Takezawa, Anastasia Koloskova, Sebastian U. StichConvergence Analysis Stochastic Gradient Descent
Exploring the Topology and Memory of Consensus: How LLM Agents Agree, Fragment, or Settle When Forming Conventions
Jun 2, 2026Aliakbar Mehdizadeh, Martin HilbertMulti-Agent Coordination Agent Memory
Operating Regimes of Decentralized Learning Under Mobility and Bandwidth Constraints
Jun 1, 2026Samuele Sabella, Chiara Boldrini, Lorenzo Valerio +2Bandwidth Constraints Decentralization
Decentralized Parameter-Free Online Learning with Compressed Gossip
May 27, 2026Tomas Ortega, Hamid JafarkhaniLearning-Augmented Algorithms Near-Optimal Regret Guarantees
Beyond the Data Mesh Illusion: Designing Modern AI-augmented Lakehouses to Bridge the Gap Between Theory and Practice
May 26, 2026Oliver Angélil, Jan MigonDecentralization Maturation
HEAL: Resilient and Self-* Hub-based Learning
May 26, 2026Mohamed Amine Legheraba, Stefan Galkiewicz, Maria Gradinariu Potop-Butucaru +1Federated Learning Decentralization
Self-Evolving Multi-Agent Systems via Decentralized Memory
May 21, 2026Guangya Hao, Yunbo Long, Zhuokai ZhaoMulti-Agent Evolution Agent Memory
STEAM: A Training-Free Congestion-Aware Enhancement Framework for Decentralized Multi-Agent Path Finding
May 20, 2026Mingyang Feng, Mengnuo Zhang, Shaoyuan Li +1Multi-Agent Path Finding Multi-Agent Reinforcement Learning
Decentralized Direct Volume Rendering: A Browser-Native GPU Architecture for MRI Digital Twins in Resource-Constrained Settings
May 19, 2026Oserebameh Augustine BeckleyRasterization Resource-Constrained Edge Devices
Centralized vs Decentralized Federated Learning: A trade-off performance analysis
May 15, 2026Chaimaa Medjadji, Guilain Leduc, Sylvain Kubler +1Federated Learning Heterogeneous Edge Devices
Stochastic Matching via Local Sparsification
May 13, 2026Sara Ahmadian, Edith Cohen, Mohammad RoghaniBipartite Perfect Matchings Decentralization
Attacks and Mitigations for Distributed Governance of Agentic AI under Byzantine Adversaries
May 12, 2026Matthew D. Laws, Alina Oprea, Cristina Nita-RotaruGovernance Layer Byzantine Attacks
Trade-offs in Decentralized Agentic AI Discovery Across the Compute Continuum
May 12, 2026Patrizio Dazzi, Emanuele Carlini, Matteo Mordacchini +1Decentralization Edge Computing
PC3D: Zero-Shot Cooperation Across Variable Rosters via Personalized Context Distillation
May 11, 2026Ahmet Onur Akman, Rafał KucharskiMulti-Agent Reinforcement Learning Multi-Robot Systems
Core-Halo Decomposition: Decentralizing Large-Scale Fixed-Point Problems
May 9, 2026Haixiang, Yang Xu, Jiefu Zhang +4Decentralization Fixed-Point Iteration
Decentralized Conformal Novelty Detection via Quantized Model Exchange
May 7, 2026Kyle Loh, Yu XiangFalse Discovery Rate Privacy-Preserving Framework
Multi-Robot Coordination in V2X Environments
May 7, 2026John Pravin Arockiasamy, Alexey VinelMulti-Robot Systems V2X
MEMOA: Massive Mixtures of Online Agents via Mean-Field Decentralized Nash Equilibria
May 6, 2026Xuwei Yang, David B. Emerson, Fatemeh Tavakoli +1Federated Reinforcement Learning Multi-Agent Reinforcement Learning
DAO-enabled decentralized physical AI: A new paradigm for human-machine collaboration
May 6, 2026Mark C. Ballandies, Florian Spychiger, Uwe Serdült +1Decentralization Human-Ai Collaboration
Privacy Preserving Machine Learning Workflow: from Anonymization to Personalized Differential Privacy Budgets in Federated Learning
May 4, 2026Judith Sáinz-Pardo Díaz, Álvaro López GarcíaFederated Learning Differential Privacy
Distributed Observer-based Fault Detection over Intelligent Networked Multi-Vehicle Systems
May 4, 2026Mohammadreza Doostmohammadian, Hamid R. RabieeAutonomous Driving Decentralization
DeRelayL: Sustainable Decentralized Relay Learning
Apr 30, 2026Haihan Duan, Tengfei Ma, Yuyang Qin +4Decentralization Privacy-Preserving Framework
TRUST: A Framework for Decentralized AI Service v.0.1
Apr 29, 2026Yu-Chao Huang, Zhen Tan, Mohan Zhang +3Trustworthy Artificial Intelligence Algorithm Auditing
From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling
Apr 28, 2026Jianghao Lin, Zi Ling, Chenyu Zhou +4Agentic Optimization Modular Agentic Framework
Usable Agent Discovery for Decentralized AI Systems
Apr 25, 2026Patrizio Dazzi, Emanuele Carlini, Matteo Mordacchini +1Decentralization Churn Prediction

Sep 22, 2026 · math.OCJ/K move · Enter open · S save

A Decentralized Partially Observable Team Decision Methodology with Delayed Information Sharing

Xiaoxing Ren, Thomas Parisini, Andreas A. Malikopoulos

We study decentralized partially observable team decision problems with low-rank latent dynamics and unknown system models. The proposed framework combines team-theoretic equivalence with low-rank model representations to address cooperative decision-making in partially observable Markov decision processes without prior knowledge of the transition model. Each team member makes decisions based on local private information and delayed common information shared across the team. Using only this available information, each member learns an approximate low-rank Markov decision process and applies least-squares value iteration to compute its policy. This yields a fully decentralized learning and planning algorithm that requires neither a centralized coordinator nor centralized training. We show that the resulting member-side solutions approximate the centralized team solution: despite partial observability, unknown dynamics, and delayed common information, each member recovers the corresponding component of an approximate team-optimal policy. We further establish finite-sample performance guarantees and derive a corresponding sample-complexity bound for the proposed algorithm.

Partially Observable Markov Decision Process Decentralization

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