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Nirupam Gupta

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Publications associées (13)

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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

Nirupam Gupta

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Robust Collaborative Learning with Linear Gradient Overhead

Impact of Redundancy on Resilience in Distributed Optimization and Learning

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

Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity

Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity

On the Privacy-Robustness-Utility Trilemma in Distributed Learning

Byzantine Machine Learning: A Primer

On Preconditioning of Decentralized Gradient-Descent When Solving a System of Linear Equations

Iterative pre-conditioning for expediting the distributed gradient-descent method: The case of linear least-squares problem

Byzantine Machine Learning Made Easy By Resilient Averaging of Momentums

Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity

Robust Collaborative Learning with Linear Gradient Overhead

Impact of Redundancy on Resilience in Distributed Optimization and Learning

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

Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity

On the Privacy-Robustness-Utility Trilemma in Distributed Learning

On Preconditioning of Decentralized Gradient-Descent When Solving a System of Linear Equations

Iterative pre-conditioning for expediting the distributed gradient-descent method: The case of linear least-squares problem

Byzantine Machine Learning: A Primer

Byzantine Machine Learning Made Easy By Resilient Averaging of Momentums