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distributed learning

563 papers

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Also known as

DL-DCL DML

Co-occurring keywords

federated learning (1320) stochastic gradient descent (1088) communication efficiency (297) distributed optimization (275) stochastic optimization (1060) decentralized optimization (113) communication complexity (99) distributed training (187) gradient compression (78) gradient descent (1143)

Papers

Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation AISTATS 2018
Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization NIPS 2018
Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods ICML 2018
The Hidden Vulnerability of Distributed Learning in Byzantium ICML 2018
Differentially private Bayesian learning on distributed data NIPS 2017
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent NIPS 2017
Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent NIPS 2017
Scalable Estimation of Dirichlet Process Mixture Models on Distributed Data IJCAI 2017
Communication-efficient Algorithms for Distributed Stochastic Principal Component Analysis ICML 2017
Asynchronous Stochastic Gradient Descent with Delay Compensation ICML 2017
Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network JMLR 2017
Distributed Learning with Regularized Least Squares JMLR 2017
A distributed block coordinate descent method for training l1 regularized linear classifiers JMLR 2017
Sparse Communication for Distributed Gradient Descent EMNLP 2017
Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server JMLR 2017
Communication-Efficient Distributed Learning of Discrete Distributions NIPS 2017
Communication-efficient Distributed Sparse Linear Discriminant Analysis AISTATS 2017
Data Driven Resource Allocation for Distributed Learning AISTATS 2017
Gaia: Geo-Distributed Machine Learning Approaching LAN Speeds NSDI 2017
Collaborative PAC Learning NIPS 2017
Communication-Efficient Learning of Deep Networks from Decentralized Data AISTATS 2017
Model Accuracy and Runtime Tradeoff in Distributed Deep Learning: A Systematic Study IJCAI 2017
Tux²: Distributed Graph Computation for Machine Learning NSDI 2017
Projection-free Distributed Online Learning in Networks ICML 2017
Efficient Distributed Learning with Sparsity ICML 2017