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Distributed Learning

1,202 papers

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Papers

Online Decentralized Leverage Score Sampling for Streaming Multidimensional Time Series AISTATS 2019 On the Computation and Communication Complexity of Parallel SGD with Dynamic Batch Sizes for Stochastic Non-Convex Optimization ICML 2019 On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization ICML 2019 Open Problem: Is Margin Sufficient for Non-Interactive Private Distributed Learning? COLT 2019 Optimal Convergence Rates for Convex Distributed Optimization in Networks JMLR 2019 Optimal Statistical Rates for Decentralised Non-Parametric Regression with Linear Speed-Up NeurIPS 2019 Optimization of Inf-Convolution Regularized Nonconvex Composite Problems AISTATS 2019 Order Optimal One-Shot Distributed Learning NeurIPS 2019 Parallel Asynchronous Stochastic Coordinate Descent with Auxiliary Variables AISTATS 2019 Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning AAAI 2019 PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization NeurIPS 2019 Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification and Local Computations NeurIPS 2019 Rates of Convergence for Large-scale Nearest Neighbor Classification NeurIPS 2019 Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning JMLR 2019 Robust and Communication-Efficient Collaborative Learning NeurIPS 2019 Scalable Distributed DL Training: Batching Communication and Computation AAAI 2019 Scaling Community Cellular Networks with CommunityCellularManager NSDI 2019 SepNE: Bringing Separability to Network Embedding AAAI 2019 signSGD with Majority Vote is Communication Efficient and Fault Tolerant ICLR 2019 SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition JMLR 2019 spark-crowd: A Spark Package for Learning from Crowdsourced Big Data JMLR 2019 Stochastic Gradient Push for Distributed Deep Learning ICML 2019 SySCD: A System-Aware Parallel Coordinate Descent Algorithm NeurIPS 2019 Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning NeurIPS 2019 Tiresias: A GPU Cluster Manager for Distributed Deep Learning NSDI 2019