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Distributed Optimization

Papers archive 2025-07-28

archive papers tagged: 536 · with a code link: 86 · where Syntology ran a sample: 14 (13 with a run with no instrument failure, 1 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (14 of 536 tagged: 13 with a run with no instrument failure, 1 where every run was a failure of Syntology's instrument)

Page 5 of 6: papers 401 to 500 of 536, in archive order: by repositories listed in the archive (most first), then newest first, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers that list no repository come after every paper that lists one.

Papers without a page here are shown as plain text. A Syntology line reads “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the figure “where Syntology's instrument failed” counts failures of Syntology's instrument, not of the code. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code); hover it for the repositories the samples that ran came from. Abstracts are on each paper's page.

• Improving Rate of Convergence via Gain Adaptation in Multi-Agent Distributed ADMM Framework
  24 Feb 2020 0 repositories listed
• Multi-frequency calibration for DOA estimation with distributed sensors
  24 Feb 2020 0 repositories listed
• Revisiting EXTRA for Smooth Distributed Optimization
  24 Feb 2020 0 repositories listed
• New Bounds For Distributed Mean Estimation and Variance Reduction
  21 Feb 2020 0 repositories listed
• Adaptive Sampling Distributed Stochastic Variance Reduced Gradient for Heterogeneous Distributed Datasets
  20 Feb 2020 0 repositories listed
• The Geometry of Sign Gradient Descent
  19 Feb 2020 0 repositories listed
• Distributed Optimization over Block-Cyclic Data
  18 Feb 2020 0 repositories listed
• Is Local SGD Better than Minibatch SGD?
  18 Feb 2020 0 repositories listed
• Distributed Averaging Methods for Randomized Second Order Optimization
  16 Feb 2020 0 repositories listed
• Differentially Quantized Gradient Methods
  6 Feb 2020 0 repositories listed
• Acceleration for Compressed Gradient Descent in Distributed Optimization
  1 Jan 2020 0 repositories listed
• Estimating the Error of Randomized Newton Methods: A Bootstrap Approach
  1 Jan 2020 0 repositories listed
• Graph Learning Under Partial Observability
  18 Dec 2019 0 repositories listed
• Optimization for Reinforcement Learning: From Single Agent to Cooperative Agents
  1 Dec 2019 0 repositories listed
• Layer-wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees
  20 Nov 2019 0 repositories listed
• vqSGD: Vector Quantized Stochastic Gradient Descent
  18 Nov 2019 0 repositories listed
• Learning-Accelerated ADMM for Distributed Optimal Power Flow
  8 Nov 2019 0 repositories listed
• On the Convergence of Local Descent Methods in Federated Learning
  31 Oct 2019 0 repositories listed
• Asynchronous Decentralized SGD with Quantized and Local Updates
  27 Oct 2019 0 repositories listed
• Sparsification as a Remedy for Staleness in Distributed Asynchronous SGD
  21 Oct 2019 0 repositories listed
• PopSGD: Decentralized Stochastic Gradient Descent in the Population Model
  25 Sep 2019 0 repositories listed
• Gradient-Consensus: Linearly Convergent Distributed Optimization Algorithm over Directed Graphs
  22 Sep 2019 0 repositories listed
• Convex Set Disjointness, Distributed Learning of Halfspaces, and LP Feasibility
  8 Sep 2019 0 repositories listed
• Proximal gradient flow and Douglas-Rachford splitting dynamics: global exponential stability via integral quadratic constraints
  23 Aug 2019 0 repositories listed
• Gradient flows and proximal splitting methods: A unified view on accelerated and stochastic optimization
  2 Aug 2019 0 repositories listed
• Popt4jlib: A Parallel/Distributed Optimization Library for Java
  1 Aug 2019 0 repositories listed
• Centralised and Distributed Optimization for Aggregated Flexibility Services Provision
  18 Jul 2019 0 repositories listed
• Data Encoding for Byzantine-Resilient Distributed Optimization
  5 Jul 2019 0 repositories listed
• Asymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning
  28 Jun 2019 0 repositories listed
• Distributed Optimization for Smart Cyber-Physical Networks
  25 Jun 2019 0 repositories listed
• Secure Architectures Implementing Trusted Coalitions for Blockchained Distributed Learning (TCLearn)
  18 Jun 2019 0 repositories listed
• Distributed Optimization for Over-Parameterized Learning
  14 Jun 2019 0 repositories listed
• The Communication Complexity of Optimization
  13 Jun 2019 0 repositories listed
• Communication-Efficient Accurate Statistical Estimation
  12 Jun 2019 0 repositories listed
• Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification, and Local Computations
  6 Jun 2019 0 repositories listed
• Deep Learning for Distributed Optimization: Applications to Wireless Resource Management
  31 May 2019 0 repositories listed
• Accelerated Sparsified SGD with Error Feedback
  29 May 2019 0 repositories listed
• Distributed estimation of the inverse Hessian by determinantal averaging
  28 May 2019 0 repositories listed
• Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models: Extension
  24 May 2019 0 repositories listed
• Byzantine Fault Tolerant Distributed Linear Regression
  20 Mar 2019 0 repositories listed
• Differentially Private Consensus-Based Distributed Optimization
  19 Mar 2019 0 repositories listed
• A Provably Communication-Efficient Asynchronous Distributed Inference Method for Convex and Nonconvex Problems
  16 Mar 2019 0 repositories listed
• SLSGD: Secure and Efficient Distributed On-device Machine Learning
  16 Mar 2019 0 repositories listed
• On Maintaining Linear Convergence of Distributed Learning and Optimization under Limited Communication
  26 Feb 2019 0 repositories listed
• Sparsity Constrained Distributed Unmixing of Hyperspectral Data
  20 Feb 2019 0 repositories listed
• Quantized Frank-Wolfe: Faster Optimization, Lower Communication, and Projection Free
  17 Feb 2019 0 repositories listed
• Do Subsampled Newton Methods Work for High-Dimensional Data?
  13 Feb 2019 0 repositories listed
• Predict Globally, Correct Locally: Parallel-in-Time Optimal Control of Neural Networks
  7 Feb 2019 0 repositories listed
• 99% of Distributed Optimization is a Waste of Time: The Issue and How to Fix it
  27 Jan 2019 0 repositories listed
• Trajectory Normalized Gradients for Distributed Optimization
  24 Jan 2019 0 repositories listed
• Distributed Nesterov gradient methods over arbitrary graphs
  21 Jan 2019 0 repositories listed
• A continuous-time analysis of distributed stochastic gradient
  28 Dec 2018 0 repositories listed
• Hyperspectral Unmixing Based on Clustered Multitask Networks
  27 Dec 2018 0 repositories listed
• Stochastic Distributed Optimization for Machine Learning from Decentralized Features
  16 Dec 2018 0 repositories listed
• Solving Non-smooth Constrained Programs with Lower Complexity than \mathcal{O}(1/ε): A Primal-Dual Homotopy Smoothing Approach
  1 Dec 2018 0 repositories listed
• Markov Chain Block Coordinate Descent
  22 Nov 2018 0 repositories listed
• Distributed Convex Optimization With Limited Communications
  29 Oct 2018 0 repositories listed
• Distributed optimization in wireless sensor networks: an island-model framework
  5 Oct 2018 0 repositories listed
• A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks
  3 Sep 2018 0 repositories listed
• Gradient Primal-Dual Algorithm Converges to Second-Order Stationary Solution for Nonconvex Distributed Optimization Over Networks
  1 Jul 2018 0 repositories listed
• An Exact Quantized Decentralized Gradient Descent Algorithm
  29 Jun 2018 0 repositories listed
• A Tight Convergence Analysis for Stochastic Gradient Descent with Delayed Updates
  26 Jun 2018 0 repositories listed
• Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization
  21 Jun 2018 0 repositories listed
• A Distributed Second-Order Algorithm You Can Trust
  20 Jun 2018 0 repositories listed
• Distributed learning with compressed gradients
  18 Jun 2018 0 repositories listed
• Distributed Optimization Strategy for Multi Area Economic Dispatch Based on Electro Search Optimization Algorithm
  25 May 2018 0 repositories listed
• Double Quantization for Communication-Efficient Distributed Optimization
  25 May 2018 0 repositories listed
• Tie-Line Characteristics based Partitioning for Distributed Optimization of Power Systems
  24 May 2018 0 repositories listed
• Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients
  22 May 2018 0 repositories listed
• Communication-Efficient Projection-Free Algorithm for Distributed Optimization
  20 May 2018 0 repositories listed
• Model Aggregation via Good-Enough Model Spaces
  20 May 2018 0 repositories listed
• GoSGD: Distributed Optimization for Deep Learning with Gossip Exchange
  4 Apr 2018 0 repositories listed
• Fundamental Resource Trade-offs for Encoded Distributed Optimization
  31 Mar 2018 0 repositories listed
• A Stochastic Large-scale Machine Learning Algorithm for Distributed Features and Observations
  29 Mar 2018 0 repositories listed
• SUCAG: Stochastic Unbiased Curvature-aided Gradient Method for Distributed Optimization
  22 Mar 2018 0 repositories listed
• Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning
  14 Mar 2018 0 repositories listed
• Convergence rate of sign stochastic gradient descent for non-convex functions
  1 Jan 2018 0 repositories listed
• Accelerated consensus via Min-Sum Splitting
  1 Dec 2017 0 repositories listed
• Optimal Algorithms for Distributed Optimization
  1 Dec 2017 0 repositories listed
• CSWA: Aggregation-Free Spatial-Temporal Community Sensing
  15 Nov 2017 0 repositories listed
• Straggler Mitigation in Distributed Optimization Through Data Encoding
  14 Nov 2017 0 repositories listed
• Distributed Unmixing of Hyperspectral Data With Sparsity Constraint
  3 Nov 2017 0 repositories listed
• Zeroth Order Nonconvex Multi-Agent Optimization over Networks
  27 Oct 2017 0 repositories listed
• Gradient Sparsification for Communication-Efficient Distributed Optimization
  26 Oct 2017 0 repositories listed
• A Sequential Approximation Framework for Coded Distributed Optimization
  24 Oct 2017 0 repositories listed
• DSCOVR: Randomized Primal-Dual Block Coordinate Algorithms for Asynchronous Distributed Optimization
  13 Oct 2017 0 repositories listed
• Distributed Very Large Scale Bundle Adjustment by Global Camera Consensus
  1 Oct 2017 0 repositories listed
• GIANT: Globally Improved Approximate Newton Method for Distributed Optimization
  11 Sep 2017 0 repositories listed
• Debiased distributed learning for sparse partial linear models in high dimensions
  18 Aug 2017 0 repositories listed
• Stochastic, Distributed and Federated Optimization for Machine Learning
  4 Jul 2017 0 repositories listed
• Adaptive Consensus ADMM for Distributed Optimization
  9 Jun 2017 0 repositories listed
• Distributed Algorithms for Feature Extraction Off-loading in Multi-Camera Visual Sensor Networks
  15 May 2017 0 repositories listed
• Accelerated Distributed Dual Averaging over Evolving Networks of Growing Connectivity
  18 Apr 2017 0 repositories listed
• DOPE: Distributed Optimization for Pairwise Energies
  11 Apr 2017 0 repositories listed
• Private Learning on Networks: Part II
  27 Mar 2017 0 repositories listed
• An Online Optimization Approach for Multi-Agent Tracking of Dynamic Parameters in the Presence of Adversarial Noise
  21 Feb 2017 0 repositories listed
• Hemingway: Modeling Distributed Optimization Algorithms
  20 Feb 2017 0 repositories listed
• Training Deep Neural Networks via Optimization Over Graphs
  11 Feb 2017 0 repositories listed
• An Integrated Optimization + Learning Approach to Optimal Dynamic Pricing for the Retailer with Multi-type Customers in Smart Grids
  18 Dec 2016 0 repositories listed
• Private Learning on Networks
  15 Dec 2016 0 repositories listed