Distributed Learning

Communication-efficient Distributed SGD with Sketching NeurIPS 2019 Communication-Efficient Stochastic Gradient MCMC for Neural Networks AAAI 2019 Communication-Optimal Distributed Dynamic Graph Clustering AAAI 2019 Communication trade-offs for Local-SGD with large step size NeurIPS 2019 Computation Efficient Coded Linear Transform AISTATS 2019 Decentralized Cooperative Stochastic Bandits NeurIPS 2019 Decentralized Dictionary Learning Over Time-Varying Digraphs JMLR 2019 Decentralized Gradient Tracking for Continuous DR-Submodular Maximization AISTATS 2019 Decentralized Optimization with Edge Sampling IJCAI 2019 Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication ICML 2019 DeepRec: An Open-source Toolkit for Deep Learning based Recommendation IJCAI 2019 Delay and Cooperation in Nonstochastic Bandits JMLR 2019 DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation NeurIPS 2019 DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization NeurIPS 2019 Distributed Collaborative Feature Selection Based on Intermediate Representation IJCAI 2019 Distributed estimation of the inverse Hessian by determinantal averaging NeurIPS 2019 Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning AISTATS 2019 Distributed Inference for Linear Support Vector Machine JMLR 2019 Distributed Learning over Unreliable Networks ICML 2019 Distributed Learning with Sublinear Communication ICML 2019 Distributed Low-rank Matrix Factorization With Exact Consensus NeurIPS 2019 Distributed PageRank Computation: An Improved Theoretical Study AAAI 2019 Distributed Weighted Matching via Randomized Composable Coresets ICML 2019 Double Quantization for Communication-Efficient Distributed Optimization NeurIPS 2019 DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-pass Error-Compensated Compression ICML 2019