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Distributed Learning

157 directly classified papers

Papers per year

Papers

Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD JMLR 2023
Delayed Algorithms for Distributed Stochastic Weakly Convex Optimization NIPS 2023
Buffered Asynchronous SGD for Byzantine Learning JMLR 2023
Distributed Sparse Regression via Penalization JMLR 2023
$\textbf{A}^2\textbf{CiD}^2$: Accelerating Asynchronous Communication in Decentralized Deep Learning NIPS 2023
Asynchronous Communication Aware Multi-Agent Task Allocation IJCAI 2023
One Gradient Frank-Wolfe for Decentralized Online Convex and Submodular Optimization ACML 2022
Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning OSDI 2022
A Polynomial-time Decentralised Algorithm for Coordinated Management of Multiple Intersections IJCAI 2022
Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior JMLR 2022
A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms ICML 2022
Projection-free Distributed Online Learning with Sublinear Communication Complexity JMLR 2022
Federated Learning with Partial Model Personalization ICML 2022
Decentralized Training of Foundation Models in Heterogeneous Environments NIPS 2022
Variance Reduced EXTRA and DIGing and Their Optimal Acceleration for Strongly Convex Decentralized Optimization JMLR 2022
Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks JMLR 2022
Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient Descent ICML 2022
The benefits of sharing: a cloud-aided performance-driven framework to learn optimal feedback policies L4DC 2021
DecentLaM: Decentralized Momentum SGD for Large-Batch Deep Training ICCV 2021
P3: Distributed Deep Graph Learning at Scale OSDI 2021
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads OSDI 2021
Distributed Nyström Kernel Learning with Communications ICML 2021
Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent AAAI 2021
Communication-Efficient Distributed Covariance Sketch, with Application to Distributed PCA JMLR 2021
Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference JMLR 2021