conftrace_

decentralized optimization

113 papers

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Co-occurring keywords

distributed learning (563) stochastic optimization (1060) stochastic gradient descent (1091) gradient tracking (25) variance reduction (523) communication complexity (99) nonconvex optimization (316) distributed optimization (275) stochastic gradient (296) communication efficiency (297)

Papers

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
A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds JMLR 2025
Decentralized Projected Riemannian Stochastic Recursive Momentum Method for Nonconvex Optimization AAAI 2025
Scalable Decentralized Learning with Teleportation ICLR 2025
Decentralized Bilevel Optimization: A Perspective from Transient Iteration Complexity JMLR 2025
Optimal Decentralized Composite Optimization for Strongly Convex Functions JMLR 2025
Decentralized Asynchronous Optimization with DADAO allows Decoupling and Acceleration JMLR 2025
Decentralized Sum-of-Nonconvex Optimization AAAI 2024
Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization JMLR 2024
Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized and Federated Optimization AISTATS 2024
Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks NIPS 2024
SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization NIPS 2024
Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization NIPS 2024
Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization AAAI 2024
Decentralized Multi-Level Compositional Optimization Algorithms with Level-Independent Convergence Rate AISTATS 2024
Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent AAAI 2024
Decentralized Natural Policy Gradient with Variance Reduction for Collaborative Multi-Agent Reinforcement Learning JMLR 2024
Byzantine-Robust Decentralized Learning via Remove-then-Clip Aggregation AAAI 2024
Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions NIPS 2024
Implicit Regularization of Decentralized Gradient Descent for Sparse Regression NIPS 2024
Decentralized Gradient-Free Methods for Stochastic Non-smooth Non-convex Optimization AAAI 2024
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization AISTATS 2024
On the Optimal Time Complexities in Decentralized Stochastic Asynchronous Optimization NIPS 2024