7 citations · 7 across the 2 of their papers we have counts for
3 papers
Personalized Federated Learning through Global Knowledge Distillation and Local Head Adaptation
Polycarpo Souza Neto, José Mairton Barros da Silva Júnior, Charles Casimiro Cavalcante
Statistical heterogeneity limits federated learning when a single global classifier cannot represent client-specific label distributions. In this work, we propose Personalized Fede…
A dimensionality reduction technique based on the Gromov-Wasserstein distance
Rafael P. Eufrazio, Eduardo Fernandes Montesuma, Charles C. Cavalcante
Analyzing relationships between objects is a pivotal problem within data science. In this context, Dimensionality reduction (DR) techniques are employed to generate smaller and mor…
Machine Learning for Spectrum Sharing: A Survey
Francisco R. V. Guimarães, José Mairton B. da Silva, Charles Casimiro Cavalcante +3
The 5th generation (5G) of wireless systems is being deployed with the aim to provide many sets of wireless communication services, such as low data rates for a massive amount of d…