← Keywords

distributed learning

563 papers

Explore in graph

Also known as

DL-DCL DML

Co-occurring keywords

federated learning (1320) stochastic gradient descent (1088) communication efficiency (297) distributed optimization (275) stochastic optimization (1060) decentralized optimization (113) communication complexity (99) distributed training (187) gradient compression (78) gradient descent (1143)

Papers

Distributed Feature Screening via Componentwise Debiasing JMLR 2020
Graph-Dependent Implicit Regularisation for Distributed Stochastic Subgradient Descent JMLR 2020
Distributed Kernel Ridge Regression with Communications JMLR 2020
The Error-Feedback framework: SGD with Delayed Gradients JMLR 2020
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms NIPS 2020
Dual-Free Stochastic Decentralized Optimization with Variance Reduction NIPS 2020
Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls AISTATS 2020
AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning NIPS 2020
Distributed Distillation for On-Device Learning NIPS 2020
Adaptive Gradient Quantization for Data-Parallel SGD NIPS 2020
Coded Sequential Matrix Multiplication For Straggler Mitigation NIPS 2020
Tighter Theory for Local SGD on Identical and Heterogeneous Data AISTATS 2020
Linearly Converging Error Compensated SGD NIPS 2020
Cooperative Multi-player Bandit Optimization NIPS 2020
Statistical Guarantees of Distributed Nearest Neighbor Classification NIPS 2020
Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms JMLR 2020
Distributed Minimum Error Entropy Algorithms JMLR 2020
D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems AAAI 2020
A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning AAAI 2020
A Decentralized Parallel Algorithm for Training Generative Adversarial Nets NIPS 2020
Moniqua: Modulo Quantized Communication in Decentralized SGD ICML 2020
Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning AAAI 2020
WONDER: Weighted One-shot Distributed Ridge Regression in High Dimensions JMLR 2020
My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits ICML 2020
A Scalable Approach for Privacy-Preserving Collaborative Machine Learning NIPS 2020