Distributed Learning
1,202 papers
Papers per year
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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