conftrace_

communication efficiency

297 papers

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Co-occurring keywords

federated learning (1333) distributed learning (563) distributed optimization (275) stochastic gradient descent (1091) model compression (3302) gradient compression (78) distributed training (188) stochastic optimization (1060) differential privacy (1016) decentralized learning (103)

Papers

Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models NIPS 2019
A Communication Efficient Stochastic Multi-Block Alternating Direction Method of Multipliers NIPS 2019
An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums NIPS 2019
Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning AAAI 2019
Communication-Efficient Stochastic Gradient MCMC for Neural Networks AAAI 2019
Trading Redundancy for Communication: Speeding up Distributed SGD for Non-convex Optimization ICML 2019
Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks AISTATS 2019
Double Quantization for Communication-Efficient Distributed Optimization NIPS 2019
Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent IJCAI 2019
Scalable Distributed DL Training: Batching Communication and Computation AAAI 2019
A Convergence Analysis of Distributed SGD with Communication-Efficient Gradient Sparsification IJCAI 2019
Decentralized Optimization with Edge Sampling IJCAI 2019
Error Feedback Fixes SignSGD and other Gradient Compression Schemes ICML 2019
A Linear Speedup Analysis of Distributed Deep Learning with Sparse and Quantized Communication NIPS 2018
Gradient Sparsification for Communication-Efficient Distributed Optimization NIPS 2018
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning NIPS 2018
CoCoA: A General Framework for Communication-Efficient Distributed Optimization JMLR 2018
COLA: Decentralized Linear Learning NIPS 2018
cpSGD: Communication-efficient and differentially-private distributed SGD NIPS 2018
Proximal SCOPE for Distributed Sparse Learning NIPS 2018
Sparsified SGD with Memory NIPS 2018
A Distributed Second-Order Algorithm You Can Trust ICML 2018
An efficient distributed learning algorithm based on effective local functional approximations JMLR 2018
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization NIPS 2018
Gaia: Geo-Distributed Machine Learning Approaching LAN Speeds NSDI 2017