Decentralized Learning

Latest papers 73

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  1. MetaLearnNCA: Few-Shot Offline Meta-Learning via Interacting Neural Cellular Automata

    Oct 6, 2026Etienne Guichard, Stefano NicheleNeural Cellular AutomataMeta-Learning

  2. Unapologetically Distributed: A Call for Decentralized Document Analysis

    Sep 30, 2026Adrià Molina, Oriol Ramos Terrades, Josep LladósOOD GeneralizationDecentralized Learning

  3. SPADE-DFL: Communication-Efficient Decentralized Federated Learning via Derivative-Free Linearized ADMM

    Sep 24, 2026Mengli Wei, Mengkai Zhu, Jiawen Chen +2Communication-Efficient Distributed TrainingBlack-Box Optimization

  4. PROSE: A Theory of Optimal Stopping with Perishable Evidence for Peer Selection in Intermittently Connected Decentralised Learning

    Sep 20, 2026Christos AnagnostopoulosOptimal StoppingDecentralized Learning

  5. Decentralized Gossip Learning and Federated Averaging for Histopathology Image Classification

    Sep 15, 2026Yusuf Ozturk, Bengisu Atli, Enes Goktekin +2Federated Learning AggregationNon-IID Federated Learning

  6. Privacy Preserving Gossip Learning

    Sep 13, 2026Erkan Bayram, Mohamed-Ali Belabbas, Tamer BaşarContinual LearningDecentralized Learning

  7. Robust Decentralized Personalized Federated Learning via Prediction-Constrained Neighborhood Collaboration

    Sep 7, 2026Xiao Ma, Hong Shen, Hui Tian +2Federated Learning AggregationByzantine-Robust Federated Learning

  8. Robust Decentralized Federated Distillation via Multi-Modality Knowledge Collaboration

    Sep 7, 2026Xiao Ma, Hong Shen, Hui Tian +2Byzantine-Robust Federated LearningFederated Knowledge Distillation

  9. From Euclidean to Graph-Structured Data: A Survey of Collaborative Learning

    Sep 2, 2026Rémi Bourgerie, Šarūnas Girdzijauskas, Viktoria FodorFederated Graph LearningDecentralized Learning

  10. Convergence Theory of Knowledge Distillation in Asynchronous P2P Gossip Learning Network

    Sep 1, 2026Lucas Qingyang Fang, Tiyao Liu, Jinhao Jing +4Decentralized LearningCross-Architecture Knowledge Distillation

  11. D-FROST: Decentralized Federated pRompt-tuning via Optimal tranSporT for Non-IID and Imbalanced Data

    Sep 1, 2026Quan Minh Nguyen, Hoang M. Ngo, Trong Nghia Hoang +1Non-IID Federated LearningDecentralized Learning

  12. Independent Reinforcement Learning in Discounted Markov Games

    Sep 1, 2026Asrin Efe Yorulmaz, Ugur Aydin, Tamer BasarReinforcement LearningGame Theory

  13. RW-LoRA: Communication-Efficient Decentralized LoRA Fine-Tuning via Random Walks

    Aug 31, 2026Xingran Chen, Rohit Bhagat, Ghadir Ayache +3Fine-TuningCommunication-Efficient Distributed Training

  14. Decentralized Multitask Learning over Learned Task Graphs

    Aug 27, 2026Zirui Wan, Stefan VlaskiGraph Structure LearningMulti-Task Learning

  15. Beyond Parameter Space: NTK-Guided Personalized Aggregation for Robust Federated Learning

    Aug 12, 2026Mirko Konstantin, Stefan Zachow, Anirban MukhopadhyayFederated Learning AggregationDecentralized Learning

  16. Stream Learning: Partition-Fair Gossip Learning Without Tokens

    Aug 7, 2026Fabien Mathieu, Alexandre Pham, Maria Gradinariu Potop-Butucaru +1Communication-Efficient Distributed TrainingDecentralized Learning

  17. FedRings: A Scalable and Topology-Aware Federated Learning Framework for LEO Satellite Constellations

    Aug 4, 2026Ziwu Liu, Inês Pinto Gouveia, Rehana Yasmin +2Communication-Efficient Distributed TrainingDecentralized Learning

  18. One Future, Every Robot: Label-Efficient Collective-State Prediction with Decentralized JEPA

    Jul 30, 2026Alan-Barsag Gazzaev, Alexey Gavrilov, Sergey MuravyovMulti-Robot SystemsJoint-Embedding Predictive Architecture

  19. Mind the Missing Split: Resolving Feature Heterogeneity in Swarm Learning with Random Forests

    Jul 28, 2026Mohammad Tajabadi, Dominik HeiderLearning with Missing DataDecentralized Learning

  20. Distributed Convolutional Rank Regression over Decentralized Networks

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

  21. Autonomous Collaborative Learning Among an Ensemble of Tsetlin Machines with Consensus-Based Inference

    Jul 22, 2026Yehuda Rudin, Osnat Keren, Michal Yemini +1Ensemble LearningMulti-Agent Collaboration

  22. The Power of Backdoor Absorption in Community Training

    Jul 7, 2026Issam Seddik, Sami Souihi, Mohamed Tamaazousti +1Algorithmic AuditingBackdoor Attacks

  23. Towards Personalized Differentially Private Learning for Decentralized Local Graphs

    Jul 6, 2026Longzhu He, Peng Tang, Chaozhuo Li +5Graph Neural NetworksDecentralized Learning

  24. Decentralised Federated Learning over Temporal Networks: The Role of Heterogeneities

    Jul 3, 2026Arash Badie-Modiri, Chiara Boldrini, Lorenzo Valerio +2Federated Learning AggregationDecentralized Learning

  25. Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data

    Jul 2, 2026Xuanyu Chen, Nan Yang, Shuai Wang +1Self-Supervised LearningNon-IID Federated Learning

  26. Privacy-Preserving and Verifiable Approximate Distributed Coded Computing

    Jul 2, 2026Xavier Martínez-Luaña, Alba Gude-Santos, Manuel Fernández-Veiga +1Byzantine-Robust Federated LearningDecentralized Learning

  27. Priority-Aware Learning-Unlearning Correction for Dynamic Decentralized LoRA Fine-Tuning

    Jun 22, 2026Nuocheng Yang, Yechen He, Sihua Wang +3Federated UnlearningCommunication-Efficient Distributed Training

  28. Giskard : Byzantine Robust and Confidential Aggregation for Large-Scale Decentralized Learning

    Jun 17, 2026Ousmane Touat, César Sabater, Mohamed Maouche +1Secure Multi-Party ComputationCommunication-Efficient Distributed Training

  29. Mixtures of Subspaces for Bandwidth Efficient Context Parallel Training

    Jun 15, 2026Sameera Ramasinghe, Ajanthan Thalaiyasingam, Hadi Mohaghegh Dolatabadi +5Communication-Efficient Distributed TrainingLong-Context Language Modeling

  30. Unifying Local Communications and Local Updates for LLM Pretraining

    Jun 9, 2026Pietro Cagnasso, Eugene Belilovsky, Edouard OyallonLanguage Model PretrainingCommunication-Efficient Distributed Training

  31. Compositional Generative Modeling from Decentralized Data

    Jun 8, 2026Mashrur M. Morshed, Vishnu Naresh BoddetiFlow MatchingDecentralized Learning

  32. Performance Evaluation of Social Learning

    Jun 8, 2026Felice Scala, Marco Carpentiero, Vincenzo Matta +1Bayesian InferenceDecentralized Learning

  33. Improved Convergence Analysis of Topology Dependence in Decentralized SGD

    Jun 8, 2026Yuki Takezawa, Anastasia Koloskova, Sebastian U. StichOptimization Convergence AnalysisDecentralized Learning

  34. DPDL: Towards Differential Privacy Preservation in Decentralized Stochastic Learning on Non-IID Data

    Jun 3, 2026Yunsheng Yuan, Xue Xiao, Lina Wang +1Decentralized LearningPrivacy-Preserving ML

  35. DECA: Decentralizing Block-Wise Adam for Efficient LLM Full-Parameter Fine-Tuning on Non-IID Data

    Jun 2, 2026Yunsheng Yuan, Shaowei Li, Kai Wang +5Fine-TuningLLM Fine-Tuning

  36. Operating Regimes of Decentralized Learning Under Mobility and Bandwidth Constraints

    Jun 1, 2026Samuele Sabella, Chiara Boldrini, Lorenzo Valerio +2Communication-Efficient Distributed TrainingDecentralized Learning

  37. Decentralized Parameter-Free Online Learning with Compressed Gossip

    May 27, 2026Tomas Ortega, Hamid JafarkhaniOnline Convex OptimizationDecentralized Learning

  38. HEAL: Resilient and Self-* Hub-based Learning

    May 26, 2026Mohamed Amine Legheraba, Stefan Galkiewicz, Maria Gradinariu Potop-Butucaru +1Decentralized LearningFederated Learning

  39. Paris 2.0: A Decentralized Diffusion Model for Video Generation

    May 25, 2026Ali Rouzbayani, Bidhan Roy, Marcos Villagra +1Video Diffusion ModelsText-to-Video Generation

  40. Unextractable Protocol Models: Collaborative Training and Inference without Weight Materialization

    May 22, 2026Alexander Long, Chamin Hewa Koneputugodage, Thalaiyasingam Ajanthan +5LLM InferenceDecentralized Learning

  41. F-TIS: Harnessing Diverse Models in Collaborative GRPO

    May 21, 2026Nikolay Blagoev, Oğuzhan Ersoy, Wendelin Boehmer +1RL for Language ModelsCommunication-Efficient Distributed Training

  42. Automated Byzantine-Resilient Clustered Decentralized Federated Learning for Battery Intelligence in Connected EVs

    May 20, 2026Mouhamed Amine Bouchiha, Abdelaziz Amara Korba, Yacine Ghamri-DoudaneByzantine-Robust Federated LearningDecentralized Learning

  43. Your Neighbors Know: Leveraging Local Neighborhoods for Backdoor Detection in Decentralized Learning

    May 19, 2026Sayan Biswas, Antoine Boutet, Davide Frey +7Backdoor DetectionDecentralized Learning

  44. Centralized vs Decentralized Federated Learning: A trade-off performance analysis

    May 15, 2026Chaimaa Medjadji, Guilain Leduc, Sylvain Kubler +1Decentralized LearningFederated Learning

  45. Unveiling High-Probability Generalization in Decentralized SGD

    May 11, 2026Jiahuan Wang, Ping Luo, Ziqing Wen +2Algorithmic StabilityDecentralized Learning

  46. \mathsf{VISTA}: Decentralized Machine Learning in Adversary Dominated Environments

    May 8, 2026Hanzaleh Akbari Nodehi, Parsa Moradi, Soheil Mohajer +1Mechanism DesignByzantine-Robust Federated Learning

  47. Decentralized Conformal Novelty Detection via Quantized Model Exchange

    May 7, 2026Kyle Loh, Yu XiangFDR ControlConformal Prediction

  48. Learned Neighbor Trust for Collaborative Deployment in Model-Agnostic Decentralized Learning

    May 6, 2026Michael Lanier, Luise Ge, Sastry Kompella +1Ensemble LearningDecentralized Learning

  49. DeRelayL: Sustainable Decentralized Relay Learning

    Apr 30, 2026Haihan Duan, Tengfei Ma, Yuyang Qin +4Decentralized Learning

  50. Decentralized Machine Learning with Centralized Performance Guarantees via Gibbs Algorithms

    Apr 22, 2026Yaiza Bermudez, Samir M. Perlaza, Iñaki EsnaolaDecentralized LearningStatistical Learning Theory

  51. Towards Energy Impact on AI-Powered 6G IoT Networks: Centralized vs. Decentralized

    Apr 21, 2026Anjie Qiu, Donglin Wang, Sanket Partani +2Energy-Efficient MLInternet of Things

  52. Continuous Limits of Coupled Flows in Representation Learning

    Apr 18, 2026Zilin Li, Weiwei Xu, Xuchun Tong +2Disentangled Representation LearningRepresentation Learning