Co-occurring keywords · papers mentioning both
Papers
cpSGD: Communication-efficient and differentially-private distributed SGD
NeurIPS 2018
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization
NeurIPS 2018
Gradient Sparsification for Communication-Efficient Distributed Optimization
NeurIPS 2018
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
NeurIPS 2018
Proximal SCOPE for Distributed Sparse Learning
NeurIPS 2018
Sparsified SGD with Memory
NeurIPS 2018
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent
NeurIPS 2017
Communication-efficient Algorithms for Distributed Stochastic Principal Component Analysis
ICML 2017
Communication-Efficient Learning of Deep Networks from Decentralized Data
AISTATS 2017
Communication-efficient Sparse Regression
JMLR 2017
Distributed Mean Estimation with Limited Communication
ICML 2017
Efficient Distributed Learning with Sparsity
ICML 2017
Gaia: Geo-Distributed Machine Learning Approaching LAN Speeds
NSDI 2017
Memory and Communication Efficient Distributed Stochastic Optimization with Minibatch Prox
COLT 2017
QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding
NeurIPS 2017
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning
NeurIPS 2017
Communication Efficient Distributed Agnostic Boosting
AISTATS 2016
Feature-distributed sparse regression: a screen-and-clean approach
NeurIPS 2016
Adding vs. Averaging in Distributed Primal-Dual Optimization
ICML 2015
Deep learning with Elastic Averaging SGD
NeurIPS 2015
DiSCO: Distributed Optimization for Self-Concordant Empirical Loss
ICML 2015
Communication-Efficient Distributed Dual Coordinate Ascent
NeurIPS 2014
Communication Efficient Distributed Machine Learning with the Parameter Server
NeurIPS 2014
Communication-Efficient Distributed Optimization using an Approximate Newton-type Method
ICML 2014
Distributed Exploration in Multi-Armed Bandits
NeurIPS 2013