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Distributed Learning

1100 directly classified papers

Papers per year

Papers

Making Asynchronous Stochastic Gradient Descent Work for Transformers EMNLP 2019
Combining Global Sparse Gradients with Local Gradients in Distributed Neural Network Training EMNLP 2019
Distributed Low-rank Matrix Factorization With Exact Consensus NIPS 2019
A Communication Efficient Stochastic Multi-Block Alternating Direction Method of Multipliers NIPS 2019
Distributed estimation of the inverse Hessian by determinantal averaging NIPS 2019
Optimal Statistical Rates for Decentralised Non-Parametric Regression with Linear Speed-Up NIPS 2019
A Little Is Enough: Circumventing Defenses For Distributed Learning NIPS 2019
Order Optimal One-Shot Distributed Learning NIPS 2019
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation NIPS 2019
Communication trade-offs for Local-SGD with large step size NIPS 2019
DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization NIPS 2019
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification and Local Computations NIPS 2019
Double Quantization for Communication-Efficient Distributed Optimization NIPS 2019
An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums NIPS 2019
BLAS-on-flash: An Efficient Alternative for Large Scale ML Training and Inference? NSDI 2019
Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation UAI 2019
Communication and Memory Efficient Testing of Discrete Distributions COLT 2019
Lower Bounds for Locally Private Estimation via Communication Complexity COLT 2019
Combining Global Sparse Gradients with Local Gradients in Distributed Neural Network Training IJCNLP 2019
Lagrange Coded Computing: Optimal Design for Resiliency, Security, and Privacy AISTATS 2019
Parallel Asynchronous Stochastic Coordinate Descent with Auxiliary Variables AISTATS 2019
AutoML from Service Provider’s Perspective: Multi-device, Multi-tenant Model Selection with GP-EI AISTATS 2019
Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning AISTATS 2019
Computation Efficient Coded Linear Transform AISTATS 2019
Decentralized Gradient Tracking for Continuous DR-Submodular Maximization AISTATS 2019