Co-occurring keywords · papers mentioning both
Papers
Communication trade-offs for Local-SGD with large step size
NeurIPS 2019
Decentralized Optimization with Edge Sampling
IJCAI 2019
DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization
NeurIPS 2019
Double Quantization for Communication-Efficient Distributed Optimization
NeurIPS 2019
DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-pass Error-Compensated Compression
ICML 2019
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control
NeurIPS 2019
Error Feedback Fixes SignSGD and other Gradient Compression Schemes
ICML 2019
Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks
AISTATS 2019
Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent
IJCAI 2019
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication
AISTATS 2019
Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models
NeurIPS 2019
Local SGD Converges Fast and Communicates Little
ICLR 2019
On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization
ICML 2019
Order Optimal One-Shot Distributed Learning
NeurIPS 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
Scalable Distributed DL Training: Batching Communication and Computation
AAAI 2019
signSGD with Majority Vote is Communication Efficient and Fault Tolerant
ICLR 2019
Trading Redundancy for Communication: Speeding up Distributed SGD for Non-convex Optimization
ICML 2019
A Distributed Second-Order Algorithm You Can Trust
ICML 2018
A Linear Speedup Analysis of Distributed Deep Learning with Sparse and Quantized Communication
NeurIPS 2018
An efficient distributed learning algorithm based on effective local functional approximations
JMLR 2018
CoCoA: A General Framework for Communication-Efficient Distributed Optimization
JMLR 2018
COLA: Decentralized Linear Learning
NeurIPS 2018