decentralized optimization

Is Consensus Acceleration Possible in Decentralized Optimization over Slowly Time-Varying Networks? ICML 2023 Multi-Consensus Decentralized Accelerated Gradient Descent JMLR 2023 Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning ICML 2023 Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization AAAI 2023 Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD JMLR 2023 Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm NeurIPS 2023 Stability-Based Generalization Analysis of the Asynchronous Decentralized SGD AAAI 2023 Adaptive Random Walk Gradient Descent for Decentralized Optimization ICML 2022 A Simple Decentralized Cross-Entropy Method NeurIPS 2022 A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization NeurIPS 2022 BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression NeurIPS 2022 Beyond spectral gap: the role of the topology in decentralized learning NeurIPS 2022 Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate NeurIPS 2022 Decentralized Online Convex Optimization in Networked Systems ICML 2022 Efficiency Ordering of Stochastic Gradient Descent NeurIPS 2022 Exact Optimal Accelerated Complexity for Fixed-Point Iterations ICML 2022 GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations NeurIPS 2022 Learning Distributed Channel Access Policies for Networked Estimation: Data-driven Optimization in the Mean-field Regime L4DC 2022 Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging NeurIPS 2022 Multi-agent Performative Prediction with Greedy Deployment and Consensus Seeking Agents NeurIPS 2022 One Gradient Frank-Wolfe for Decentralized Online Convex and Submodular Optimization ACML 2022 On the Convergence of Decentralized Adaptive Gradient Methods ACML 2022 Optimal Algorithms for Decentralized Stochastic Variational Inequalities NeurIPS 2022 Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization NeurIPS 2022 Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks JMLR 2022