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Distributed Systems

329 papers

Papers per year

3
2
49
26
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'15
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Papers

Distributed Power-law Graph Computing: Theoretical and Empirical Analysis NIPS 2014
Large-scale L-BFGS using MapReduce NIPS 2014
Distributed Balanced Clustering via Mapping Coresets NIPS 2014
Efficient Distributed Topic Modeling with Provable Guarantees AISTATS 2014
Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data AISTATS 2014
Principal Component Analysis and Higher Correlations for Distributed Data COLT 2014
An Asynchronous Parallel Stochastic Coordinate Descent Algorithm ICML 2014
Fully Decentralized Task Swaps with Optimized Local Searching RSS 2014
Distributed $k$-means and $k$-median Clustering on General Topologies NIPS 2013
Distributed Submodular Maximization: Identifying Representative Elements in Massive Data NIPS 2013
Optimistic Concurrency Control for Distributed Unsupervised Learning NIPS 2013
Analyzing Hogwild Parallel Gaussian Gibbs Sampling NIPS 2013
More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server NIPS 2013
Information Consensus for Distributed Multi-target Tracking CVPR 2013
Robust Regression on MapReduce ICML 2013
An Exact Decentralized Cooperative Navigation Algorithm for Acoustically Networked Underwater Vehicles with Robustness to Faulty Communication: Theory and Experiment RSS 2013
Communication/Computation Tradeoffs in Consensus-Based Distributed Optimization NIPS 2012
Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent NIPS 2011
A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model NIPS 2010
Distributed Dual Averaging In Networks NIPS 2010
Inference and Learning in Networks of Queues AISTATS 2010
A Massively Parallel Digital Learning Processor NIPS 2008
Target Enumeration via Integration over Planar Sensor Networks RSS 2008
A configurable analog VLSI neural network with spiking neurons and self-regulating plastic synapses NIPS 2007
Parallelizing Support Vector Machines on Distributed Computers NIPS 2007