most citedSolving the Quadratic Assignment Problem on heterogeneous environment (CPUs and GPUs) with the application of Level 2 Reformulation and Linearization Technique

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.DC2023

Multi-FedLS: a Framework for Cross-Silo Federated Learning Applications on Multi-Cloud Environments

Rafaela C. Brum, Maria Clicia Stelling de Castro, Luciana Arantes +2

Federated Learning (FL) is a distributed Machine Learning (ML) technique that can benefit from cloud environments while preserving data privacy. We propose Multi-FedLS, a framework…

cs.DC2015★ 1 cited

Solving the Quadratic Assignment Problem on heterogeneous environment (CPUs and GPUs) with the application of Level 2 Reformulation and Linearization Technique

Alexandre Domingues Gonçalves, Artur Alves Pessoa, Lúcia Maria de Assumpção Drummond +2

The Quadratic Assignment Problem, QAP, is a classic combinatorial optimization problem, classified as NP-hard and widely studied. This problem consists in assigning N facilities to…