Decentralized Learning

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7 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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Fully Online Decentralized Learning in Stochastic Games with Unknown Independent Chains
Oct 1, 2026S. Rasoul EtesamiObservable Stochastic Game Mirror Descent
Department of Industrial and Systems Engineering, Coordinated Science Laboratory University of Illinois Urbana-Champaign, Urbana, IL, USA 61801
Emergent Specialization in Populations of Self-Supervised Collaborative Vision Experts Without a Shared Gate or Cross-Agent Gradients
Sep 29, 2026Aram Davtyan, Pablo Acuaviva, Sebastian Stapf +1Decentralized Learning Pretraining
u b University of Bern Computer Vision Group, Institute of Computer Science University of Bern, Switzerland
SPADE-DFL: Communication-Efficient Decentralized Federated Learning via Derivative-Free Linearized ADMM
Sep 24, 2026Mengli Wei, Mengkai Zhu, Jiawen Chen +2Decentralized Learning Federated Learning
School of Mathematics, Southeast University, Nanjing 210096, China
Private Decentralized Optimization with Noise Reduction and Bias Correction
Sep 23, 2026Yizhao Fan, Wenjian Luo, Jiaojiao ZhangDecentralized Optimization Decentralized Learning
Harbin Institute of Technology, Shenzhen · Great Bay University
PROSE: A Theory of Optimal Stopping with Perishable Evidence for Peer Selection in Intermittently Connected Decentralised Learning
Sep 20, 2026Christos AnagnostopoulosDecentralized Learning Optimal Stopping
School of Computing Science, University of Glasgow, Glasgow, United Kingdom.
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 Decentralized Learning
Industrial and Systems Engineering, North Carolina State University, Raleigh, NC, United States · Department of Industrial and Production Engineering, Bangladesh University of Engineering and Technology, Dhaka, 1000, Bangladesh
High-Probability Nash Regret for Decentralized Learning in Markov $α$ -Potential Games: Episodic and Fully Online Asynchronous Algorithms with Applications to Markov Congestion Games
Sep 14, 2026S. Rasoul EtesamiMean Field Games Observable Stochastic Game
Department of Industrial and Systems Engineering Coordinated Science Laboratory University of Illinois Urbana-Champaign, Urbana, IL, USA
Privacy Preserving Gossip Learning
Sep 13, 2026Erkan Bayram, Mohamed-Ali Belabbas, Tamer BaşarGossip Decentralized Learning
University of Illinois Urbana Champaign, IL, USA
RW-LoRA: Communication-Efficient Decentralized LoRA Fine-Tuning via Random Walks
Aug 31, 2026Xingran Chen, Rohit Bhagat, Ghadir Ayache +3Hip-Lora Parameter-Efficient Fine-Tuning Methods
Engineering Systems and Design Pillar, Singapore University of Technology and Design, Singapore 487372 · Department of Electrical and Computer Engineering, Rutgers University, Piscataway Township, NJ 08854, USA · LinkedIn, New York, NY 10118, USA +2
Decentralized Multitask Learning over Learned Task Graphs
Aug 27, 2026Zirui Wan, Stefan VlaskiGraph Representation Learning Decentralized Learning
Department of Electrical and Electronic Engineering, Imperial College London, UK
Learning under Opponent Unawareness in Linear-Quadratic Stochastic Games
Aug 8, 2026Dantong Chu, Xuefeng Gao, Yufei ZhangObservable Stochastic Game Nash Equilibrium
Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong, China. · Department of Mathematics, Imperial College London, UK.
Mind the Missing Split: Resolving Feature Heterogeneity in Swarm Learning with Random Forests
Jul 28, 2026Mohammad Tajabadi, Dominik HeiderRandom Forest Heterogeneity
Institute of Medical Informatics, University of Münster, Münster, Germany
Decentralised Consensus Learning Networks: SME Rotation Without Centralised Reward
Jul 27, 2026Florin NeaguDecentralized Learning Response-Level Rewards
Distributed Convolutional Rank Regression over Decentralized Networks
Jul 26, 2026Chunjing Li, Tiange Zhao, Xiaohui YuanDecentralized Learning Kernel Ridge Regression
School of Mathematics and Statistics, Changchun University of Technology, Changchun 130012, Jilin, China
Variance-Reduced Q-Learning over Static and Time-Varying Networks
Jul 24, 2026Sreejeet Maity, Feng Zhu, Aritra Mitra +1Multi-Agent Reinforcement Learning Decentralized Learning
Department of Electrical and Computer Engineering, North Carolina State University · Department of Electrical and Computer Engineering, University of California San Diego, San Diego, USA
Autonomous Collaborative Learning Among an Ensemble of Tsetlin Machines with Consensus-Based Inference
Jul 22, 2026Yehuda Rudin, Osnat Keren, Michal Yemini +1Decentralized Learning Federated Learning
Faculty of Engineering, Bar Ilan University, Ramat Gan 5290002, Israel.
The Power of Backdoor Absorption in Community Training
Jul 7, 2026Issam Seddik, Sami Souihi, Mohamed Tamaazousti +1Clean Label Backdoor Attack Model-Agnostic Defense
Université Paris-Saclay, CEA LIST, Palaiseau, France
Towards Personalized Differentially Private Learning for Decentralized Local Graphs
Jul 6, 2026Longzhu He, Peng Tang, Chaozhuo Li +5Decentralized Learning Federated Graph Learning
School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China · State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China · School of Cyber Science and Technology, Shandong University, Qingdao, China +2
Decentralized Aggregation of LLM Predictions via Wagering Mechanisms
Jul 5, 2026Yuhong Luo, David M. Pennock, Xintong WangDecentralized Learning Betting
Rutgers University · DIMACS, Rutgers University
Unbiased Alignment for Large Language Models with Noisy Preferences
Jul 3, 2026Jialiang Wang, Xianming Liu, Xiong Zhou +2Backtranslation Augmented Direct Preference Optimization Reinforcement Learning From Human Feedback
1Harbin Institute of Technology · 2City University of Hong Kong.
Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data
Jul 2, 2026Xuanyu Chen, Nan Yang, Shuai Wang +1Decentralized Learning Self-Supervised Learning
School of Electrical and Computer Engineering, The University of Sydney · 2Northwestern Polytechnical University
Giskard : Byzantine Robust and Confidential Aggregation for Large-Scale Decentralized Learning
Jun 17, 2026Ousmane Touat, César Sabater, Mohamed Maouche +1Secure Aggregation Decentralized Learning
INSA Lyon, LIRIS, CNRS · Villeurbanne, France · INRIA, INSA Lyon
Mixtures of Subspaces for Bandwidth Efficient Context Parallel Training
Jun 15, 2026Sameera Ramasinghe, Ajanthan Thalaiyasingam, Hadi Mohaghegh Dolatabadi +5Large Language Model Compression Efficient Long-Context Inference
Pluralis Research
CCKS: Consensus-based Communication and Knowledge Sharing
Jun 10, 2026Jinyuan Zu, Xiaowei Lv, Yongcai Wang +5Multi-Agent Reinforcement Learning Decentralized Learning
School of Information, Renmin University of China, Beijing 100872, China · State Key Laboratory of Multimodal Artificial Intelligence Systems, Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China · The Information Science Academy, China Electronics Technology Group Corporation, Beijing 100043, China +1
Improved Convergence Analysis of Topology Dependence in Decentralized SGD
Jun 8, 2026Yuki Takezawa, Anastasia Koloskova, Sebastian U. StichDecentralized Learning Network Topology
Toyota Motor Corporation · University of Zurich · CISPA Helmholtz Center for Information Security
Learning to Contest: Decentralized Robust Fairness in Cooperative MARL via Cross-Attention
Jun 4, 2026Can SavcıMulti-Agent Reinforcement Learning Decentralized Learning
Independent Researcher Izmir, Turkey
DPDL: Towards Differential Privacy Preservation in Decentralized Stochastic Learning on Non-IID Data
Jun 3, 2026Yunsheng Yuan, Xue Xiao, Lina Wang +1Decentralized Learning Standard Differential-Privacy
School of Computer Science and Technology, Shandong University, Qingdao 266237, China · Inspur Cloud Information Technology Co, Ltd.
Operating Regimes of Decentralized Learning Under Mobility and Bandwidth Constraints
Jun 1, 2026Samuele Sabella, Chiara Boldrini, Lorenzo Valerio +2Decentralized Learning Power Allocation
Institute for Informatics and Telematics, National Research Council, Italy
KISS: Keeping it Simple and Slotted when Learning to Communicate over Wireless
May 29, 2026Kamil Szczech, Maksymilian Wojnar, Krzysztof Rusek +2Decentralized Learning Wifi
AGH University of Krakow, Poland
HEAL: Resilient and Self-* Hub-based Learning
May 26, 2026Mohamed Amine Legheraba, Stefan Galkiewicz, Maria Gradinariu Potop-Butucaru +1Decentralized Learning Federated Learning
NPA · Sorbonne University, CNRS, LIP6, F-75005 Paris, France · NPA, IUF, LINCS +1
Unextractable Protocol Models: Collaborative Training and Inference without Weight Materialization
May 22, 2026Alexander Long, Chamin Hewa Koneputugodage, Thalaiyasingam Ajanthan +5Model Weights Decentralized Learning
Pluralis Research
Distributed Quantum Learning over Near-term Devices: Convergence Analysis and Security Design
May 21, 2026Atit Pokharel, Shaba Shaon, Thomas Morris +1Post-Quantum Cryptography Quantum Learning
Department of Electrical and Computer Engineering, University of Alabama in Huntsville, USA
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 Decentralized Learning
School of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai 200240, China
Distributed Direct Preference Optimization
May 20, 2026Zhanhong JiangBacktranslation Augmented Direct Preference Optimization Decentralized Learning
Translational AI Center, Iowa State University, Ames, USA.
Your Neighbors Know: Leveraging Local Neighborhoods for Backdoor Detection in Decentralized Learning
May 19, 2026Sayan Biswas, Antoine Boutet, Davide Frey +7Clean Label Backdoor Attack Decentralized Learning
1EPFL · 2Inria, INSA Lyon, CITI · 3Univ. Rennes, Inria, CNRS, IRISA
Emergent Communication between Heterogeneous Visual Agents through Decentralized Learning
May 12, 2026Mikako Ochiai, Masatoshi Nagano, Tadahiro TaniguchiDecentralized Learning Symbol-
Graduate School of Informatics, Kyoto University, Kyoto 606-8501, Japan
Rethinking Ratio-Based Trust Regions for Policy Optimization in Multi-Agent Reinforcement Learning
May 9, 2026Chulabhaya Wijesundara, Andrea Baisero, Zhongheng Li +3Multi-Agent Reinforcement Learning Trust Region
Northeastern University · STR · University of California, Irvine
Learned Neighbor Trust for Collaborative Deployment in Model-Agnostic Decentralized Learning
May 6, 2026Michael Lanier, Luise Ge, Sastry Kompella +1Log-Ratio-Based Gaussian Trust Weight Decentralized Learning
Department of Computer Science Washington University in St. Louis and Nexcepta
DeRelayL: Sustainable Decentralized Relay Learning
Apr 30, 2026Haihan Duan, Tengfei Ma, Yuyang Qin +4Decentralized Learning Privacy
Artificial Intelligence Research Institute, Shenzhen MSU-BIT University, Shenzhen 518172, China · Guangdong-Hong Kong-Macao Joint Laboratory for Emotion Intelligence and Pervasive Computing, Shenzhen 518172, China · The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China +3
GradMAP: Gradient-Based Multi-Agent Proximal Learning for Grid-Edge Flexibility
Apr 27, 2026Yihong Zhou, Hongtai Zeng, Thomas MorstynDistributed Energy Resources Decentralized Learning
Department of Engineering Science, University of Oxford
Decentralized Machine Learning with Centralized Performance Guarantees via Gibbs Algorithms
Apr 22, 2026Yaiza Bermudez, Samir M. Perlaza, Iñaki EsnaolaDecentralized Learning Gibbs
Centre Inria d'Université Côte d'Azur, INRIA, Sophia Antipolis, France. · Laboratoire GAATI, Université de la Polynésie française, Fa'a'ā, French Polynesia. · ECE Dept. Princeton University, Princeton, 08544 NJ, USA. +1
Semantic-based Distributed Learning for Diverse and Discriminative Representations
Apr 20, 2026Zhuojun Tian, Chaouki Ben Issaid, Mehdi BennisDecentralized Learning Discriminative Models
Center for Wireless Communications, University of Oulu, Oulu, Finland · Division of Information Science and Engineering, KTH Royal of Technology, Stockholm, Sweden · Center for Wireless Communications, University of Oulu, Oulu 90014, Finland
Continuous Limits of Coupled Flows in Representation Learning
Apr 18, 2026Zilin Li, Weiwei Xu, Xuchun Tong +2Decentralized Learning Representation Learning
SIIS, Donghua University, Shanghai
SeedFlood: A Step Toward Scalable Decentralized Fine-Tuning of LLMs
Feb 20, 2026Jihun Kim, Dongyeop Lee, Namhoon LeeLarge Language Model Fine-Tuning Decentralized Learning
POSTECH, pohang, Republic of Korea.
Decentralized SGD with Controlled Disagreement Finds Flatter Minima
Feb 2, 2026Zesen Wang, Mikael JohanssonDecentralized Learning Stochastic Gradient Descent
Division of Decision and Control Systems KTH Royal Institute of Technology
Self-Creating Random Walks for Decentralized Learning under Pac-Man Attacks
Jan 12, 2026Xingran Chen, Parimal Parag, Rohit Bhagat +1Decentralized Learning Learning-Augmented Algorithms
Engineering Systems and Design Pillar, Singapore University of Technology and Design, 8 Somapah Road, Singapore 487372 · Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore, Karnataka 560012, India · Department of Electrical and Computer Engineering, Rutgers University, Piscataway Township, NJ 08854, USA
On the Escaping Efficiency of Distributed Adversarial Training Algorithms
Sep 14, 2025Ying Cao, Kun Yuan, Ali H. SayedAdversarial Training Decentralized Learning
Institute of Electrical and Micro Engineering in EPFL, Lausanne · Center for Machine Learning Research (CMLR) in Peking University
Random Walk Learning and the Pac-Man Attack
Aug 1, 2025Xingran Chen, Parimal Parag, Rohit Bhagat +2Decentralized Learning Bounded Adversary
Department of Electrical and Computer Engineering, Rutgers University, Piscataway Township, NJ 08854, USA · Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore, Karnataka 560012, India
Subspace Networks: Scaling Decentralized Training with Communication-Efficient Model Parallelism
Jun 2, 2025Sameera Ramasinghe, Thalaiyasingam Ajanthan, Gil Avraham +2Compressed Model Decentralized Learning
Pluralis Research
Trust-free Personalized Decentralized Learning
Oct 15, 2024Yawen Li, Yan Li, Junping Du +3Federated Learning Decentralized Learning
Beijing University of Posts and Telecommunications, Beijing, China
Collaborative Knowledge Distillation via a Learning-by-Education Node Community
Sep 30, 2024Anestis Kaimakamidis, Ioannis Mademlis, Ioannis PitasKnowledge Distillation Dataset Distillation
Aristotle University of Thessaloniki, Thessaloniki, 54124, Greece

Oct 1, 2026, cs.LGJ/K move · Enter open · S save

Fully Online Decentralized Learning in Stochastic Games with Unknown Independent Chains

S. Rasoul Etesami

Department of Industrial and Systems Engineering, Coordinated Science Laboratory University of Illinois Urbana-Champaign, Urbana, IL, USA 61801

Observable Stochastic Game Mirror Descent Decentralized Learning

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We consider stochastic games with independent controlled chains and unknown transition kernels, where players observe only their local states and realized payoffs. We develop a fully online, decentralized, and uncoordinated mirror-descent algorithm that operates in the dual space of occupancy measures for approximating stationary Nash equilibrium (NE) policies. The algorithm uses a single transition/reward sample at every primitive time step, relies only on local information, and requires neither coverage of the joint state space nor synchronized episodes. Under uniform-ergodicity and finite-coverage assumptions, we show that, with high probability, the time-averaged fixed-comparator regret decays at the canonical

O(T^{-1/2})

rate, up to logarithmic factors and polynomial dependence on the game parameters. In particular, the complexity depends on the cover times of the individual local state spaces rather than the product state space, avoiding exponential dependence on the number of players and the sizes of the joint state and action spaces. The resulting finite-time regret bound further yields an approximate coarse-correlated-equilibrium guarantee, which is natural for arbitrary reward functions since computing a stationary

ε

-NE is PPAD-hard in this setting. Under an additional global variational-stability condition, we show that the same fully online algorithm converges asymptotically in the last iterate to a stationary

ε

-NE. Our results provide a fully online and scalable learning framework for stochastic games with unknown independent chains. The algorithm can also be viewed as a primal-dual framework for Markov games that exploits the independence and local structure of the players' controlled transition chains.

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