181 citations · 221 across the 11 of their papers we have counts for
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cs.LG2021★ 7 cited
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…
eess.SP2021★ 181 cited
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…
eess.SP2021
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…