3 papers
eess.SP2020
Fast Decentralized Linear Functions Over Edge Fluctuating Graphs
Siavash Mollaebrahim, Baltasar Beferull-Lozano
Implementing linear transformations is a key task in the decentralized signal processing framework, which performs learning tasks on data sets distributed over multi-node networks.…
stat.CO2020
Fast Graph Filters for Decentralized Subspace Projection
Daniel Romero, Siavash Mollaebrahim, Baltasar Beferull-Lozano +1
A number of inference problems with sensor networks involve projecting a measured signal onto a given subspace. In existing decentralized approaches, sensors communicate with their…
eess.SP2019
Fast Decentralized Linear Functions via Successive Graph Shift Operators
Siavash Mollaebrahim, Daniel Romero, Baltasar Beferull-Lozano
We study decentralized designing of the graph shift operators to implement linear transformations between graph signals. Since this operator captures the local structure of the gra…