decentralized optimization

Convergence of Decentralized Stochastic Subgradient-based Methods for Nonsmooth Nonconvex Optimization JMLR 2026 DCatalyst: A Unified Accelerated Framework for Decentralized Optimization JMLR 2026 Decentralized Non-convex Stochastic Optimization with Heterogeneous Variance AAAI 2026 Decentralized Online Convex Optimization with Unknown Feedback Delays AAAI 2026 Stochastic Decentralized Optimization of Non-Smooth Convex and Convex-Concave Problems over Time-Varying Networks AAAI 2026 Achieving Linear Speedup and Near-Optimal Complexity for Decentralized Optimization over Row-stochastic Networks ICML 2025 A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds JMLR 2025 Asynchronous Decentralized Optimization with Constraints: Achievable Speeds of Convergence for Directed Graphs AISTATS 2025 Covariance Selection over Networks AISTATS 2025 Decentralized Asynchronous Optimization with DADAO allows Decoupling and Acceleration JMLR 2025 Decentralized Bilevel Optimization: A Perspective from Transient Iteration Complexity JMLR 2025 Decentralized Optimization with Coupled Constraints ICLR 2025 Decentralized Projected Riemannian Stochastic Recursive Momentum Method for Nonconvex Optimization AAAI 2025 Exploiting Similarity for Computation and Communication-Efficient Decentralized Optimization ICML 2025 Optimal Decentralized Composite Optimization for Strongly Convex Functions JMLR 2025 Riemannian Diffusion Adaptation for Distributed Optimization on Manifolds ICML 2025 Scalability Enhancement and Data-Heterogeneity Awareness in Gradient Tracking based Decentralized Bayesian Learning L4DC 2025 Scalable Decentralized Learning with Teleportation ICLR 2025 Towards Faster Decentralized Stochastic Optimization with Communication Compression ICLR 2025 Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization JMLR 2024 Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization NeurIPS 2024 An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization AISTATS 2024 Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized and Federated Optimization AISTATS 2024 Byzantine-Robust Decentralized Learning via Remove-then-Clip Aggregation AAAI 2024 Decentralized Convex Finite-Sum Optimization with Better Dependence on Condition Numbers ICML 2024