decentralized learning

Decentralized Directed Collaboration for Personalized Federated Learning CVPR 2024 Decentralized Two-Sided Bandit Learning in Matching Market UAI 2024 DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations AAAI 2024 DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models CVPR 2024 Finite-Time Convergence Rates of Decentralized Local Markovian Stochastic Approximation IJCAI 2024 Impact of Decentralized Learning on Player Utilities in Stackelberg Games ICML 2024 Mean-Field Games With Finitely Many Players: Independent Learning and Subjectivity JMLR 2024 PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds IJCAI 2024 The complexity of approximate (coarse) correlated equilibrium for incomplete information games COLT 2024 A^2CiD^2: Accelerating Asynchronous Communication in Decentralized Deep Learning NeurIPS 2023 Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence NeurIPS 2023 Beyond Spectral Gap: The Role of the Topology in Decentralized Learning JMLR 2023 Breaking the Curse of Multiagency: Provably Efficient Decentralized Multi-Agent RL with Function Approximation COLT 2023 Can We Find Nash Equilibria at a Linear Rate in Markov Games? ICLR 2023 Compressed Decentralized Learning of Conditional Mean Embedding Operators in Reproducing Kernel Hilbert Spaces AAAI 2023 Decentralized Learning: Theoretical Optimality and Practical Improvements JMLR 2023 Decentralized Learning With Multi-Headed Distillation CVPR 2023 Decentralized Riemannian Algorithm for Nonconvex Minimax Problems AAAI 2023 Decentralized Robust V-learning for Solving Markov Games with Model Uncertainty JMLR 2023 DM²: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching AAAI 2023 Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision? ICLR 2023 Empirical Study of Federated Unlearning: Efficiency and Effectiveness ACML 2023 Epidemic Learning: Boosting Decentralized Learning with Randomized Communication NeurIPS 2023 Equilibria of Fully Decentralized Learning in Networked Systems L4DC 2023 FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP ACL 2023