Distributed Learning

Improved Asynchronous Parallel Optimization Analysis for Stochastic Incremental Methods JMLR 2018 Proportional Allocation: Simple, Distributed, and Diverse Matching with High Entropy ICML 2018 Very Large-Scale Global SfM by Distributed Motion Averaging CVPR 2018 Collaborative Deep Learning in Fixed Topology Networks NeurIPS 2017 Decentralized Collaborative Learning of Personalized Models over Networks AISTATS 2017 Distributed Accelerated Proximal Coordinate Gradient Methods IJCAI 2017 Distributed Mean Estimation with Limited Communication ICML 2017 Gradient Coding: Avoiding Stragglers in Distributed Learning ICML 2017 Optimal Algorithms for Smooth and Strongly Convex Distributed Optimization in Networks ICML 2017 Projection-free Distributed Online Learning in Networks ICML 2017 Prox-PDA: The Proximal Primal-Dual Algorithm for Fast Distributed Nonconvex Optimization and Learning Over Networks ICML 2017 A Consensus-Based Framework for Distributed Bundle Adjustment CVPR 2016 DSA: Decentralized Double Stochastic Averaging Gradient Algorithm JMLR 2016 d-VMP: Distributed Variational Message Passing PGM 2016 Unwrapping ADMM: Efficient Distributed Computing via Transpose Reduction AISTATS 2016 An Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimization ICML 2015 DiSCO: Distributed Optimization for Self-Concordant Empirical Loss ICML 2015 Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lower Bounds ICML 2015 Communication-Efficient Distributed Dual Coordinate Ascent NeurIPS 2014 Communication-Efficient Distributed Optimization using an Approximate Newton-type Method ICML 2014 Large-scale L-BFGS using MapReduce NeurIPS 2014 On Model Parallelization and Scheduling Strategies for Distributed Machine Learning NeurIPS 2014 Parallel Direction Method of Multipliers NeurIPS 2014 Distributed k-means and k-median Clustering on General Topologies NeurIPS 2013 Information-theoretic lower bounds for distributed statistical estimation with communication constraints NeurIPS 2013