220 citations · 836 across the 35 of their papers we have counts for
6 papers · 1 filter
Learning in Restless Bandits under Exogenous Global Markov Process
Tomer Gafni, Michal Yemini, Kobi Cohen
We consider an extension to the restless multi-armed bandit (RMAB) problem with unknown arm dynamics, where an unknown exogenous global Markov process governs the rewards distribut…
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…
Anomaly Search with Multiple Plays under Delay and Switching Costs
Tidhar Lambez, Kobi Cohen
The problem of searching for anomalous processes among processes is considered. At each time, the decision maker can observe a subset of processes (i.e., multiple plays…
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…
Federated Learning: A Signal Processing Perspective
Tomer Gafni, Nir Shlezinger, Kobi Cohen +2
The dramatic success of deep learning is largely due to the availability of data. Data samples are often acquired on edge devices, such as smart phones, vehicles and sensors, and i…
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…