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06/10/2023
An Optimization-based Deep Equilibrium Model for Hyperspectral Image Deconvolution with Convergence Guarantees
In this paper, we propose a novel methodology for addressing the hypersp...
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05/29/2023
Deep Equilibrium Models Meet Federated Learning
In this study the problem of Federated Learning (FL) is explored under a...
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03/29/2022
Connections between Deep Equilibrium and Sparse Representation models with Application to Hyperspectral Imaging
In this study, the problem of computing a sparse representation of multi...
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03/23/2022
Efficient Fully Distributed Federated Learning with Adaptive Local Links
Nowadays, data-driven, machine and deep learning approaches have provide...
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07/22/2021
A Distributed Sparse Channel Estimation Technique for mmWave Massive MIMO Systems
In this paper, we study the problem of sparse channel estimation via a c...
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06/29/2021
Coalition Formation Games for Improved Cell-Edge User Service in Downlink NOMA and MU-MIMO Small Cell Systems
In today's wireless communication systems, the exponentially growing nee...
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08/08/2020
