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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 ...
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01/23/2020
Wirelessly-powered Sensor Networks Power Allocation for Channel Estimation and Energy Beamforming
Wirelessly-powered sensor networks (WPSNs) are becoming increasingly imp...
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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...
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06/06/2018
Learning Kolmogorov Models for Binary Random Variables
We summarize our recent findings, where we proposed a framework for lear...
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05/23/2018
A Unified Framework for Training Neural Networks
The lack of mathematical tractability of Deep Neural Networks (DNNs) has...
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10/07/2017
Interference Model Similarity Index and Its Applications to mmWave Networks: Extended version
In wireless communication networks, interference models are routinely us...
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11/20/2011
