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Distributed Learning

1,135 papers

Papers per year

6
20
109
93
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'15
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Papers

The Statistical Performance of Collaborative Inference JMLR 2016
Distributed Coordinate Descent Method for Learning with Big Data JMLR 2016
Distributed Submodular Maximization JMLR 2016
Network Requirements for Resource Disaggregation OSDI 2016
TensorFlow: A System for Large-Scale Machine Learning OSDI 2016
Exploring the Hidden Dimension in Graph Processing OSDI 2016
Gemini: A Computation-Centric Distributed Graph Processing System OSDI 2016
Fast and Concurrent RDF Queries with RDMA-Based Distributed Graph Exploration OSDI 2016
JetStream: Cluster-Scale Parallelization of Information Flow Queries OSDI 2016
d-VMP: Distributed Variational Message Passing PGM 2016
An End-To-End System for Accomplishing Tasks with Modular Robots RSS 2016
Extending Gossip Algorithms to Distributed Estimation of U-statistics NIPS 2015
Parallelizing MCMC with Random Partition Trees NIPS 2015
Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization NIPS 2015
Communication Complexity of Distributed Convex Learning and Optimization NIPS 2015
Fast Distributed k-Center Clustering with Outliers on Massive Data NIPS 2015
Secure Multi-party Differential Privacy NIPS 2015
Distributed Submodular Cover: Succinctly Summarizing Massive Data NIPS 2015
Deep learning with Elastic Averaging SGD NIPS 2015
Variational Consensus Monte Carlo NIPS 2015
FaLRR: A Fast Low Rank Representation Solver CVPR 2015
DiSCO: Distributed Optimization for Self-Concordant Empirical Loss ICML 2015
Distributed Box-Constrained Quadratic Optimization for Dual Linear SVM ICML 2015
The Power of Randomization: Distributed Submodular Maximization on Massive Datasets ICML 2015
Distributed Gaussian Processes ICML 2015