3 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.DC2021
Efficient Consensus-Free Weight Reassignment for Atomic Storage (Extended Version)
Hasan Heydari, Guthemberg Silvestre, Luciana Arantes
Weighted voting is a conventional approach to improving the performance of replicated systems based on commonly-used majority quorum systems in heterogeneous environments. In long-…
cs.DC2014
The Impact Failure Detector
Anubis G. M. Rossetto, Cláudio F. R. Geyer, Luciana Arantes +1
This work proposes a new and flexible unreliable failure detector whose output is related to the trust level of a set of processes. By expressing the relevance of each process of t…