Hossein Shokri-Ghadikolaei | DeepAI

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∙ 12/22/2022

Device Selection for the Coexistence of URLLC and Distributed Learning Services

Recent advances in distributed artificial intelligence (AI) have led to ...

0 Milad Ganjalizadeh, et al. ∙

∙ 01/23/2020

Wirelessly-powered Sensor Networks Power Allocation for Channel Estimation and Energy Beamforming

Wirelessly-powered sensor networks (WPSNs) are becoming increasingly imp...

0 Rong Du, et al. ∙

∙ 02/26/2019

On Maintaining Linear Convergence of Distributed Learning and Optimization under Limited Communication

In parallel and distributed machine learning multiple nodes or processor...

0 Sindri Magnússon, et al. ∙

∙ 06/06/2018

Learning Kolmogorov Models for Binary Random Variables

We summarize our recent findings, where we proposed a framework for lear...

0 Hadi Ghauch, et al. ∙

∙ 05/23/2018

A Unified Framework for Training Neural Networks

The lack of mathematical tractability of Deep Neural Networks (DNNs) has...

0 Hadi Ghauch, et al. ∙

∙ 10/07/2017

Interference Model Similarity Index and Its Applications to mmWave Networks: Extended version

In wireless communication networks, interference models are routinely us...

0 Hossein Shokri-Ghadikolaei, et al. ∙

∙ 11/20/2011

Analytical and Learning-Based Spectrum Sensing Time Optimization in Cognitive Radio Systems

Powerful spectrum sensing schemes enable cognitive radios (CRs) to find ...

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