Skip to content
conftrace_

communication efficiency

330 papers

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