3 papers
cs.LG2022
Scheduling Algorithms for Federated Learning with Minimal Energy Consumption
Laércio Lima Pilla
Federated Learning (FL) has opened the opportunity for collaboratively training machine learning models on heterogeneous mobile or Edge devices while keeping local data private.Wit…
cs.AI2020
Optimal Task Assignment to Heterogeneous Federated Learning Devices
Laércio Lima Pilla
Federated Learning provides new opportunities for training machine learning models while respecting data privacy. This technique is based on heterogeneous devices that work togethe…
cs.DC2020
Mapping Matters: Application Process Mapping on 3-D Processor Topologies
Jonas H. Müller Korndörfer, Mario Bielert, Laércio L. Pilla +1
Applications' performance is influenced by the mapping of processes to computing nodes, the frequency and volume of exchanges among processing elements, the network capacity, and t…