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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…