Distributed Learning

Trading Redundancy for Communication: Speeding up Distributed SGD for Non-convex Optimization ICML 2019 Transferable AutoML by Model Sharing Over Grouped Datasets CVPR 2019 Two-stage Federated Phenotyping and Patient Representation Learning ACL 2019 Two Tiered Distributed Training Algorithm for Acoustic Modeling Interspeech 2019 Zeno: Distributed Stochastic Gradient Descent with Suspicion-based Fault-tolerance ICML 2019 D^2: Decentralized Training over Decentralized Data ICML 2018 Achieving the time of 1-NN, but the accuracy of k-NN AISTATS 2018 A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning ICML 2018 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 A Practical Algorithm for Distributed Clustering and Outlier Detection NeurIPS 2018 Asynchronous Decentralized Parallel Stochastic Gradient Descent ICML 2018 ATOMO: Communication-efficient Learning via Atomic Sparsification NeurIPS 2018 Bayesian Distributed Stochastic Gradient Descent NeurIPS 2018 BML: A High-performance, Low-cost Gradient Synchronization Algorithm for DML Training NeurIPS 2018 Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates ICML 2018 Byzantine Stochastic Gradient Descent NeurIPS 2018 CoCoA: A General Framework for Communication-Efficient Distributed Optimization JMLR 2018 COLA: Decentralized Linear Learning NeurIPS 2018 Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation AISTATS 2018 Communication Compression for Decentralized Training NeurIPS 2018 Communication-Computation Efficient Gradient Coding ICML 2018 Communication Efficient Parallel Algorithms for Optimization on Manifolds NeurIPS 2018 Convergence Analysis of Distributed Inference with Vector-Valued Gaussian Belief Propagation JMLR 2018