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Algorithme du gradient

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Byzantine Fault-Tolerance in Federated Local SGD Under 2f-Redundancy

Nirupam Gupta

In this article, we study the problem of Byzantine fault-tolerance in a federated optimization setting, where there is a group of agents communicating with a centralized coordinator. We allow up to

f

Byzantine-faulty agents, which may not follow a prescr ...

Piscataway2023

Algorithme du gradient

Graph Chatbot

Chattez avec Graph Search

Robust Collaborative Learning with Linear Gradient Overhead

Byzantine Fault-Tolerance in Federated Local SGD Under 2f-Redundancy

Phenomenological theory of variational quantum ground-state preparation

Universal and adaptive methods for robust stochastic optimization

(S)GD over Diagonal Linear Networks: Implicit Regularisation, Large Stepsizes and Edge of Stability

Fast Adversarial Training With Adaptive Step Size

Regularization Techniques for Low-Resource Machine Translation

Time Series Analysis of Urban Liveability

New Perspectives on Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization

Augmented Lagrangian Methods for Provable and Scalable Machine Learning

Augmented Lagrangian Methods for Provable and Scalable Machine Learning

Robust Collaborative Learning with Linear Gradient Overhead

Byzantine Fault-Tolerance in Federated Local SGD Under 2f-Redundancy

Phenomenological theory of variational quantum ground-state preparation

Universal and adaptive methods for robust stochastic optimization

(S)GD over Diagonal Linear Networks: Implicit Regularisation, Large Stepsizes and Edge of Stability

Fast Adversarial Training With Adaptive Step Size

Regularization Techniques for Low-Resource Machine Translation

Time Series Analysis of Urban Liveability

New Perspectives on Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization