decentralized learning

Fedstellar: A Platform for Training Models in a Privacy-preserving and Decentralized Fashion IJCAI 2023 Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data NeurIPS 2023 Improving the Model Consistency of Decentralized Federated Learning ICML 2023 Moving-Landmark Assisted Distributed Learning Based Decentralized Cooperative Localization (DL-DCL) with Fault Tolerance AAAI 2023 On Generalization of Decentralized Learning with Separable Data AISTATS 2023 Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning AAAI 2023 Safe Multi-agent Learning via Trapping Regions IJCAI 2023 Structured Cooperative Learning with Graphical Model Priors ICML 2023 SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication ICLR 2023 Tackling Safe and Efficient Multi-Agent Reinforcement Learning via Dynamic Shielding (Student Abstract) AAAI 2023 A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms ICML 2022 Beyond spectral gap: the role of the topology in decentralized learning NeurIPS 2022 Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach ICLR 2022 Decentralized Local Stochastic Extra-Gradient for Variational Inequalities NeurIPS 2022 Decentralized Mean Field Games AAAI 2022 DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training ICML 2022 EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles AAAI 2022 GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations NeurIPS 2022 I2Q: A Fully Decentralized Q-Learning Algorithm NeurIPS 2022 Learning To Collaborate in Decentralized Learning of Personalized Models CVPR 2022 Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees L4DC 2022 Learning to Share in Networked Multi-Agent Reinforcement Learning NeurIPS 2022 Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism JMLR 2022 Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & Applications IJCAI 2022 One Gradient Frank-Wolfe for Decentralized Online Convex and Submodular Optimization ACML 2022