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asynchronous algorithm

20 papers

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distributed optimization (275) distributed learning (563) asynchronous optimization (38) stochastic optimization (1060) asynchronous computation (16) parallel computing (146) decentralized optimization (113) stochastic gradient descent (1091) decentralized learning (103) distributed algorithm (79)

Papers

Decentralized Asynchronous Optimization with DADAO allows Decoupling and Acceleration JMLR 2025
Delay-agnostic Asynchronous Coordinate Update Algorithm ICML 2023
Distributed Distributionally Robust Optimization with Non-Convex Objectives NIPS 2022
Asynchronous Decentralized SGD with Quantized and Local Updates NIPS 2021
Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning) NIPS 2021
DAve-QN: A Distributed Averaged Quasi-Newton Method with Local Superlinear Convergence Rate AISTATS 2020
Asynchronous Gibbs Sampling AISTATS 2020
Robust Asynchronous Stochastic Gradient-Push: Asymptotically Optimal and Network-Independent Performance for Strongly Convex Functions JMLR 2020
Federated Principal Component Analysis NIPS 2020
Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models AISTATS 2019
Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems AAAI 2019
Personalized and Private Peer-to-Peer Machine Learning AISTATS 2018
Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms NIPS 2015
On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants NIPS 2015
Asynchronous Anytime Sequential Monte Carlo NIPS 2014
Asynchronous Distributed ADMM for Consensus Optimization ICML 2014
Estimation, Optimization, and Parallelism when Data is Sparse NIPS 2013
Convergence of Distributed Asynchronous Learning Vector Quantization Algorithms JMLR 2011
Distributed Delayed Stochastic Optimization NIPS 2011
Asynchronous Distributed Learning of Topic Models NIPS 2008