2 citations · 2 across the 1 of their papers we have counts for
2 papers
eess.SP2021
Distributed Graph Learning with Smooth Data Priors
Isabela Cunha Maia Nobre, Mireille El Gheche, Pascal Frossard
Graph learning is often a necessary step in processing or representing structured data, when the underlying graph is not given explicitly. Graph learning is generally performed cen…
eess.SP2019★ 2 cited
Optimized Quantization in Distributed Graph Signal Filtering
Isabela Cunha Maia Nobre, Pascal Frossard
Distributed graph signal processing algorithms require the network nodes to communicate by exchanging messages in order to achieve a common objective. These messages have a finite…