Distributed Learning

Challenges and Opportunities of Building Fast GBDT Systems IJCAI 2021 Communication-Efficient Distributed Covariance Sketch, with Application to Distributed PCA JMLR 2021 Communication-Efficient Distributed Optimization with Quantized Preconditioners ICML 2021 DecentLaM: Decentralized Momentum SGD for Large-Batch Deep Training ICCV 2021 Distributed Nyström Kernel Learning with Communications ICML 2021 Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads OSDI 2021 EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition AAAI 2021 Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent AAAI 2021 FedDR – Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization NeurIPS 2021 Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes AISTATS 2021 Learning from History for Byzantine Robust Optimization ICML 2021 Linear Regression over Networks with Communication Guarantees L4DC 2021 Local SGD: Unified Theory and New Efficient Methods AISTATS 2021 Newton Method over Networks is Fast up to the Statistical Precision ICML 2021 P3: Distributed Deep Graph Learning at Scale OSDI 2021 Sample Efficient Decentralized Stochastic Frank-Wolfe Methods for Continuous DR-Submodular Maximization IJCAI 2021 The benefits of sharing: a cloud-aided performance-driven framework to learn optimal feedback policies L4DC 2021 Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference JMLR 2021 Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks AISTATS 2020 Catching Cheats: Detecting Strategic Manipulation in Distributed Optimisation of Electric Vehicle Aggregators (Extended Abstract) IJCAI 2020 Data-Driven Distributed Predictive Control via Network Optimization L4DC 2020 Distributed Feature Screening via Componentwise Debiasing JMLR 2020 Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach L4DC 2020 D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems AAAI 2020 Finite-Time Performance of Distributed Two-Time-Scale Stochastic Approximation L4DC 2020