conftrace_

gradient tracking

25 papers

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Also known as

GT

Co-occurring keywords

decentralized optimization (113) distributed optimization (275) distributed learning (563) federated learning (1333) variance reduction (523) stochastic optimization (1060) bilevel optimization (194) communication efficiency (297) non-convex optimization (547) nonconvex optimization (316)

Papers

Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis JMLR 2025
A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds JMLR 2025
Decentralized Sparse Linear Regression via Gradient-Tracking JMLR 2025
SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization NIPS 2024
Decentralized Natural Policy Gradient with Variance Reduction for Collaborative Multi-Agent Reinforcement Learning JMLR 2024
Decentralized Sum-of-Nonconvex Optimization AAAI 2024
Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization JMLR 2024
Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data ICML 2023
On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network AISTATS 2023
Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective Function ICML 2023
BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression NIPS 2022
A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms ICML 2022
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology ICML 2022
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces ICML 2022
A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning NIPS 2022
Acceleration in Distributed Sparse Regression NIPS 2022
Newton Method over Networks is Fast up to the Statistical Precision ICML 2021
Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction ICML 2021
An Improved Analysis of Gradient Tracking for Decentralized Machine Learning NIPS 2021
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction JMLR 2020
Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis NIPS 2020
Second Order Optimality in Decentralized Non-Convex Optimization via Perturbed Gradient Tracking NIPS 2020
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction AISTATS 2020
Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: Joint Gradient Estimation and Tracking ICML 2020
Decentralized Gradient Tracking for Continuous DR-Submodular Maximization AISTATS 2019