Publications associées à Byzantine machine learning

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Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Function

Patrick Thiran, Negar Kiyavash, Saber Salehkaleybar

We study the performance of Stochastic Cubic Regularized Newton (SCRN) on a class of functions satisfying gradient dominance property with

1\le\alpha\le2

which holds in a wide range of applications in machine learning and signal processing. This conditio ...

NeurIPS2022

Byzantine machine learning

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On the Generalization of Stochastic Gradient Descent with Momentum

Universal and adaptive methods for robust stochastic optimization

Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Function

Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization

Using Machine Learning to Predict Mortality for COVID-19 Patients on Day 0 in the ICU

Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks

Distributed Learning in Non-Convex Environments-Part I: Agreement at a Linear Rate

Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms

Multi-armed Bandits in Action

Byzantine tolerant gradient descent for distributed machine learning with adversaries

Universal and adaptive methods for robust stochastic optimization

Using Machine Learning to Predict Mortality for COVID-19 Patients on Day 0 in the ICU

Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms

Distributed Learning in Non-Convex Environments-Part I: Agreement at a Linear Rate

On the Generalization of Stochastic Gradient Descent with Momentum

Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization

Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Function

Byzantine tolerant gradient descent for distributed machine learning with adversaries

Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks

Multi-armed Bandits in Action