Metaheuristics

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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

Metaheuristics

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Engineering random spin models with atoms in a high-finesse cavity

A continuum approximation approach to the depot location problem in a crowd-shipping system

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

Robust Design of Herringbone Grooved Journal Bearings using Multi-Objective Optimization with Artificial Neural Networks

Robust Design of Herringbone Grooved Journal Bearings using Multi-Objective Optimization with Artificial Neural Networks

Confidence Matters: Applications to Semantic Segmentation

An Integrated Approach to Designing Robust Turbocompressors on Gas Bearings Through Surrogate Modeling and Constrained Multi-Objective Optimization

Automated planning for the construction of laterally resistant masonry walls using irregular stones

BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

Screening for drivers of SARS-CoV-2 uptake

Robust Design of Herringbone Grooved Journal Bearings using Multi-Objective Optimization with Artificial Neural Networks

An Integrated Approach to Designing Robust Turbocompressors on Gas Bearings Through Surrogate Modeling and Constrained Multi-Objective Optimization

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

A continuum approximation approach to the depot location problem in a crowd-shipping system

Engineering random spin models with atoms in a high-finesse cavity

Robust Design of Herringbone Grooved Journal Bearings using Multi-Objective Optimization with Artificial Neural Networks

Confidence Matters: Applications to Semantic Segmentation

BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

Screening for drivers of SARS-CoV-2 uptake

Automated planning for the construction of laterally resistant masonry walls using irregular stones