Group testing can help maintain a widespread testing program using fewer...
Federated learning has been proposed as a privacy-preserving machine lea...
Federated learning (FL) is a privacy-preserving paradigm where multiple
...
Group testing can help maintain a widespread testing program using fewer...
Group testing can save testing resources in the context of the ongoing
C...
A common sparse linear regression formulation is the l1 regularized leas...
This work considers millimeter-wave channel estimation in a setting wher...
Fast testing can help mitigate the coronavirus disease 2019 (COVID-19)
p...
A common goal in many research areas is to reconstruct an unknown signal...
In many areas, massive amounts of data are collected and analyzed in ord...
Approximate message passing (AMP) is a class of low-complexity, scalable...
A common goal in many research areas is to reconstruct an unknown signal...
Approximate message passing (AMP) methods have gained recent traction in...
Real-world applications such as magnetic resonance imaging with multiple...