Distributed Learning
1,202 papers
Papers per year
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Papers
Towards Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-Experts
NeurIPS 2020
Twine: A Unified Cluster Management System for Shared Infrastructure
OSDI 2020
Uncertain multi-agent MILPs: A data-driven decentralized solution with probabilistic feasibility guarantees
L4DC 2020
WONDER: Weighted One-shot Distributed Ridge Regression in High Dimensions
JMLR 2020
Write Dependency Disentanglement with HORAE
OSDI 2020
Zeno++: Robust Fully Asynchronous SGD
ICML 2020
Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives
AISTATS 2019
A Communication Efficient Stochastic Multi-Block Alternating Direction Method of Multipliers
NeurIPS 2019
A Convergence Analysis of Distributed SGD with Communication-Efficient Gradient Sparsification
IJCAI 2019
A Highly Efficient Distributed Deep Learning System for Automatic Speech Recognition
Interspeech 2019
A Little Is Enough: Circumventing Defenses For Distributed Learning
NeurIPS 2019
An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums
NeurIPS 2019
Analysis of Quantized Models
ICLR 2019
An asymptotic analysis of distributed nonparametric methods
JMLR 2019
A Sharper Generalization Bound for Divide-and-Conquer Ridge Regression
AAAI 2019
AutoML from Service Provider’s Perspective: Multi-device, Multi-tenant Model Selection with GP-EI
AISTATS 2019
Bayesian Nonparametric Federated Learning of Neural Networks
ICML 2019
BLAS-on-flash: An Efficient Alternative for Large Scale ML Training and Inference?
NSDI 2019
Building Personalized Simulator for Interactive Search
IJCAI 2019
Combining ADMM and the Augmented Lagrangian Method for Efficiently Handling Many Constraints
IJCAI 2019
Combining Global Sparse Gradients with Local Gradients in Distributed Neural Network Training
EMNLP 2019
Communication and Memory Efficient Testing of Discrete Distributions
COLT 2019
Communication-Constrained Inference and the Role of Shared Randomness
ICML 2019
Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback
NeurIPS 2019
Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients
NeurIPS 2019