distributed optimization

Proximal SCOPE for Distributed Sparse Learning NeurIPS 2018 signSGD: Compressed Optimisation for Non-Convex Problems ICML 2018 Solving Non-smooth Constrained Programs with Lower Complexity than O(1/ε): A Primal-Dual Homotopy Smoothing Approach NeurIPS 2018 Sparsified SGD with Memory NeurIPS 2018 Very Large-Scale Global SfM by Distributed Motion Averaging CVPR 2018 Accelerated consensus via Min-Sum Splitting NeurIPS 2017 Accelerated Local Anomaly Detection via Resolving Attributed Networks IJCAI 2017 Accumulated Gradient Normalization ACML 2017 Adaptive Consensus ADMM for Distributed Optimization ICML 2017 A distributed block coordinate descent method for training l1 regularized linear classifiers JMLR 2017 A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization JMLR 2017 Asynchronous Coordinate Descent under More Realistic Assumptions NeurIPS 2017 Decentralized Collaborative Learning of Personalized Models over Networks AISTATS 2017 Distributed Accelerated Proximal Coordinate Gradient Methods IJCAI 2017 Distributed Batch Gaussian Process Optimization ICML 2017 Distributed Stochastic Variance Reduced Gradient Methods by Sampling Extra Data with Replacement JMLR 2017 DOPE: Distributed Optimization for Pairwise Energies CVPR 2017 Efficient Distributed Learning with Sparsity ICML 2017 Memory and Communication Efficient Distributed Stochastic Optimization with Minibatch Prox COLT 2017 Optimal Algorithms for Smooth and Strongly Convex Distributed Optimization in Networks ICML 2017 Prox-PDA: The Proximal Primal-Dual Algorithm for Fast Distributed Nonconvex Optimization and Learning Over Networks ICML 2017 QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding NeurIPS 2017 Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging ICML 2017 SnapVX: A Network-Based Convex Optimization Solver JMLR 2017 Straggler Mitigation in Distributed Optimization Through Data Encoding NeurIPS 2017