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distributed learning

563 papers

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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

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond JMLR 2020
Mutual Transfer Learning for Massive Data ICML 2020
InstaHide: Instance-hiding Schemes for Private Distributed Learning ICML 2020
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks NIPS 2020
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks ICML 2020
Online Convex Optimization Over Erdos-Renyi Random Networks NIPS 2020
Decentralized Accelerated Proximal Gradient Descent NIPS 2020
Decentralised Learning with Random Features and Distributed Gradient Descent ICML 2020
One-shot Distributed Ridge Regression in High Dimensions ICML 2020
Projection-free Distributed Online Convex Optimization with $O(\sqrtT)$ Communication Complexity ICML 2020
Breaking the Communication-Privacy-Accuracy Trilemma NIPS 2020
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data CVPR 2020
Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy AISTATS 2020
Zeno++: Robust Fully Asynchronous SGD ICML 2020
A Double Residual Compression Algorithm for Efficient Distributed Learning AISTATS 2020
Distributed Summation Privacy for Speech Enhancement INTERSPEECH 2020
A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning JMLR 2020
Simultaneous Inference for Massive Data: Distributed Bootstrap ICML 2020
Doubly Distributed Supervised Learning and Inference with High-Dimensional Correlated Outcomes JMLR 2020
Minibatch vs Local SGD for Heterogeneous Distributed Learning NIPS 2020
CSER: Communication-efficient SGD with Error Reset NIPS 2020
Order Optimal One-Shot Distributed Learning NIPS 2019
Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models AISTATS 2019
Fully Distributed Bayesian Optimization with Stochastic Policies IJCAI 2019
An asymptotic analysis of distributed nonparametric methods JMLR 2019