Showing 1–20 of 33 results
/ Date/ Name
May 2, 2023Mixed-Integer Optimal Control via Reinforcement Learning: A Case Study on Hybrid Electric Vehicle Energy ManagementJul 21, 2023Robust Fully-Asynchronous Methods for Distributed Training over General ArchitectureOct 22, 2019A Unified Contraction Analysis of a Class of Distributed Algorithms for Composite OptimizationFeb 25, 2020Distributed Algorithms for Composite Optimization: Unified Framework and Convergence AnalysisAug 29, 2016A Bregman Splitting Algorithm for Distributed Optimization over NetworksOct 23, 2019Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over NetworksMar 12, 2021Predicting the Behavior of Dealers in Over-The-Counter Corporate Bond MarketsJul 8, 2022Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced TopologyOct 15, 2018Push-Pull Gradient Methods for Distributed Optimization in NetworksJun 5, 2024Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive StepsizesMar 20, 2018A Push-Pull Gradient Method for Distributed Optimization in NetworksMay 4, 2024PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility BoundsAug 28, 2025CoCoL: A Communication Efficient Decentralized Collaborative Method for Multi-Robot SystemsAug 29, 2025An Optimistic Gradient Tracking Method for Distributed Minimax OptimizationDec 1, 2025Beyond Scaffold: A Unified Spatio-Temporal Gradient Tracking MethodMar 10, 2026Adaptive Polyak Stepsize with Level-value Adjustment for Distributed OptimizationMar 1, 2024Safe Hybrid-Action Reinforcement Learning-Based Decision and Control for Discretionary Lane ChangeDec 28, 2024On Random Sampling of Diffused Graph Signals with Sparse Inputs on Vertex DomainDec 22, 2023Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity AnalysisMay 10, 2025Dyn-D$^2$P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee