1 citations · 1 across the 6 of their papers we have counts for
12 papers
Topological transitions and surface umklapp scattering in Slack Metasurfaces
Kobi-Yaakov Cohen, Shai Tsesses, Shimon Dolev +3
Metamaterials and metasurfaces are at the pinnacle of wave propagation engineering, yet their design has thus far been mainly focused on deep-subwavelength periodicities, practical…
An Online Learning Approach to Shortest Path and Backpressure Routing in Wireless Networks
Omer Amar, Kobi Cohen
We consider the adaptive routing problem in multihop wireless networks. The link states are assumed to be random variables drawn from unknown distributions, independent and identic…
Deep Reinforcement Learning for Simultaneous Sensing and Channel Access in Cognitive Networks
Yoel Bokobza, Ron Dabora, Kobi Cohen
We consider the problem of dynamic spectrum access (DSA) in cognitive wireless networks, where only partial observations are available to the users due to narrowband sensing and tr…
Accelerated Gradient Descent Learning over Multiple Access Fading Channels
Raz Paul, Yuval Friedman, Kobi Cohen
We consider a distributed learning problem in a wireless network, consisting of N distributed edge devices and a parameter server (PS). The objective function is a sum of the edge…
Distributed Learning over Markovian Fading Channels for Stable Spectrum Access
Tomer Gafni, Kobi Cohen
We consider the problem of multi-user spectrum access in wireless networks. The bandwidth is divided into K orthogonal channels, and M users aim to access the spectrum. Each user c…
Over-the-Air Federated Learning from Heterogeneous Data
Tomer Sery, Nir Shlezinger, Kobi Cohen +1
Federated learning (FL) is a framework for distributed learning of centralized models. In FL, a set of edge devices train a model using their local data, while repeatedly exchangin…