Communication efficiency is a major challenge in federated learning (FL)...
This paper considers a distributed detection setup where agents in a net...
Expectation Maximization (EM) is the standard method to learn Gaussian
m...
Locating an object is key in many applications, namely in high-stakes
re...
First-order methods for stochastic optimization have undeniable relevanc...
In recent work, we proposed a distributed Picard iteration (DPI) that al...
The Picard iteration is widely used to find fixed points of locally
cont...
The augmented Lagrangian method (ALM) is a classical optimization tool t...
Consider a set of agents that wish to estimate a vector of parameters of...
Processing data collected by a network of agents often boils down to sol...