← Optimization
Mathematics & Optimization › Optimization ›

Distributed Learning

157 directly classified papers

Papers per year

Papers

Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent AAAI 2021
FedDR – Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization NIPS 2021
Communication-Efficient Distributed Optimization with Quantized Preconditioners ICML 2021
A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization ICML 2021
Local SGD: Unified Theory and New Efficient Methods AISTATS 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
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads OSDI 2021
Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes AISTATS 2021
Learning from History for Byzantine Robust Optimization ICML 2021
The benefits of sharing: a cloud-aided performance-driven framework to learn optimal feedback policies L4DC 2021
Linear Regression over Networks with Communication Guarantees L4DC 2021
P3: Distributed Deep Graph Learning at Scale OSDI 2021
Accelerating Distributed SGD for Linear Regression using Iterative Pre-Conditioning L4DC 2021
Manifold Identification for Ultimately Communication-Efficient Distributed Optimization ICML 2020
Catching Cheats: Detecting Strategic Manipulation in Distributed Optimisation of Electric Vehicle Aggregators (Extended Abstract) IJCAI 2020
Graph-Dependent Implicit Regularisation for Distributed Stochastic Subgradient Descent JMLR 2020
WONDER: Weighted One-shot Distributed Ridge Regression in High Dimensions JMLR 2020
GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning JMLR 2020
FlightTracker: Consistency across Read-Optimized Online Stores at Facebook OSDI 2020
Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks AISTATS 2020
Microsecond Consensus for Microsecond Applications OSDI 2020
Distributed Feature Screening via Componentwise Debiasing JMLR 2020
HS-CAI: A Hybrid DCOP Algorithm via Combining Search with Context-Based Inference AAAI 2020
Is Local SGD Better than Minibatch SGD? ICML 2020