331 citations · 872 across the 32 of their papers we have counts for
33 papers
A Learning-Based Approach to Approximate Coded Computation
Navneet Agrawal, Yuqin Qiu, Matthias Frey +4
Lagrange coded computation (LCC) is essential to solving problems about matrix polynomials in a coded distributed fashion; nevertheless, it can only solve the problems that are rep…
Open or not open: Are conventional radio access networks more secure and trustworthy than Open-RAN?
Felix Klement, Stefan Katzenbeisser, Vincent Ulitzsch +5
The Open RAN architecture is a promising and future-oriented architecture. It is intended to open up the radio access network (RAN) and enable more innovation and competition in th…
Unsupervised Domain Adaptation across FMCW Radar Configurations Using Margin Disparity Discrepancy
Rodrigo Hernangomez, Igor Bjelakovic, Lorenzo Servadei +1
Commercial radar sensing is gaining relevance and machine learning algorithms constitute one of the key components that are enabling the spread of this radio technology into areas…
Over-The-Air Computation in Correlated Channels
Matthias Frey, Igor Bjelakovic, Slawomir Stanczak
This paper addresses the problem of Over-The-Air (OTA) computation in wireless networks which has the potential to realize huge efficiency gains for instance in training of distrib…
Over-The-Air Computation in Correlated Channels
Matthias Frey, Igor Bjelakovic, Slawomir Stanczak
Over-the-Air (OTA) computation is the problem of computing functions of distributed data without transmitting the entirety of the data to a central point. By avoiding such costly t…
Distributed Approximation of Functions over Fast Fading Channels with Applications to Distributed Learning and the Max-Consensus Problem
Igor Bjelakovic, Matthias Frey, Slawomir Stanczak
In this work, we consider the problem of distributed approximation of functions over multiple-access channels with additive noise. In contrast to previous works, we take fast fadin…