Distributed Learning

Straggler Mitigation in Distributed Optimization Through Data Encoding NeurIPS 2017 TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning NeurIPS 2017 Tux²: Distributed Graph Computation for Machine Learning NSDI 2017 A Communication-Efficient Parallel Algorithm for Decision Tree NeurIPS 2016 A Comprehensive Linear Speedup Analysis for Asynchronous Stochastic Parallel Optimization from Zeroth-Order to First-Order NeurIPS 2016 A Consensus-Based Framework for Distributed Bundle Adjustment CVPR 2016 AdaDelay: Delay Adaptive Distributed Stochastic Optimization AISTATS 2016 A Multi-Batch L-BFGS Method for Machine Learning NeurIPS 2016 An End-To-End System for Accomplishing Tasks with Modular Robots RSS 2016 A primal-dual method for conic constrained distributed optimization problems NeurIPS 2016 Asynchronous Parallel Learning for Neural Networks and Structured Models with Dense Features COLING 2016 Blind Recovery of Perceptual Models in Distributed Speech and Audio Coding Interspeech 2016 Bootstrap Model Aggregation for Distributed Statistical Learning NeurIPS 2016 Communication Efficient Distributed Agnostic Boosting AISTATS 2016 Communication-Optimal Distributed Clustering NeurIPS 2016 Cyclades: Conflict-free Asynchronous Machine Learning NeurIPS 2016 DECOrrelated feature space partitioning for distributed sparse regression NeurIPS 2016 Distributed Clustering of Linear Bandits in Peer to Peer Networks ICML 2016 Distributed Coordinate Descent Method for Learning with Big Data JMLR 2016 Distributed Flexible Nonlinear Tensor Factorization NeurIPS 2016 Distributed Submodular Maximization JMLR 2016 DSA: Decentralized Double Stochastic Averaging Gradient Algorithm JMLR 2016 DUAL-LOCO: Distributing Statistical Estimation Using Random Projections AISTATS 2016 d-VMP: Distributed Variational Message Passing PGM 2016 Exploring the Hidden Dimension in Graph Processing OSDI 2016