distributed optimization

Online Convex Optimization Over Erdos-Renyi Random Networks NeurIPS 2020 Optimal and Practical Algorithms for Smooth and Strongly Convex Decentralized Optimization NeurIPS 2020 Robust Asynchronous Stochastic Gradient-Push: Asymptotically Optimal and Network-Independent Performance for Strongly Convex Functions JMLR 2020 SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum ICLR 2020 Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization ICML 2020 A Communication Efficient Stochastic Multi-Block Alternating Direction Method of Multipliers NeurIPS 2019 ANYTIME MINIBATCH: EXPLOITING STRAGGLERS IN ONLINE DISTRIBUTED OPTIMIZATION ICLR 2019 Combining ADMM and the Augmented Lagrangian Method for Efficiently Handling Many Constraints IJCAI 2019 Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback NeurIPS 2019 DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization NeurIPS 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 Low-rank Matrix Factorization With Exact Consensus NeurIPS 2019 Double Quantization for Communication-Efficient Distributed Optimization NeurIPS 2019 DSCOVR: Randomized Primal-Dual Block Coordinate Algorithms for Asynchronous Distributed Optimization JMLR 2019 Efficient Protocol for Collaborative Dictionary Learning in Decentralized Networks IJCAI 2019 Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks AISTATS 2019 Learning and Data Selection in Big Datasets ICML 2019 Multi-Context System for Optimization Problems AAAI 2019 New Convergence Aspects of Stochastic Gradient Algorithms JMLR 2019 On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization ICML 2019 Optimal Convergence Rates for Convex Distributed Optimization in Networks JMLR 2019 Order Optimal One-Shot Distributed Learning NeurIPS 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