Integrated sensing, computation and communication in B5G cellular Internet of Things

Q Qi, X Chen, C Zhong, Z Zhang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this article, we investigate the issue of integrated sensing, computation and
communication (SCC) in beyond fifth-generation (B5G) cellular internet of things (IoT) …

Lattice-based mmWave hybrid beamforming

S Lyu, Z Wang, Z Gao, H He… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Conventional hybrid precoding and combining based transceivers require a large number of
high-resolution radio frequency (RF) phase shifters (PSs), which impose prohibitive …

Sparse plus low rank matrix decomposition: A discrete optimization approach

D Bertsimas, R Cory-Wright, NAG Johnson - The Journal of Machine …, 2023 - dl.acm.org
We study the Sparse Plus Low-Rank decomposition problem (SLR), which is the problem of
decomposing a corrupted data matrix into a sparse matrix of perturbations plus a low-rank …

[HTML][HTML] Iterative splitting schemes for a soft material poromechanics model

JW Both, NA Barnafi, FA Radu, P Zunino… - Computer Methods in …, 2022 - Elsevier
We address numerical solvers for a poromechanics model particularly adapted for soft
materials, as it generally respects thermodynamics principles and energy balance …

Robust design of federated learning for edge-intelligent networks

Q Qi, X Chen - IEEE Transactions on Communications, 2022 - ieeexplore.ieee.org
Mass data traffics, low-latency wireless services and advanced artificial intelligence (AI)
technologies have driven the emergence of a new paradigm for wireless networks, namely …

[HTML][HTML] A robust solution strategy for the Cahn-Larché equations

E Storvik, JW Both, JM Nordbotten, FA Radu - Computers & Mathematics …, 2023 - Elsevier
In this paper we propose a solution strategy for the Cahn-Larché equations, which is a
model for linearized elasticity in a medium with two elastic phases that evolve subject to a …

Robust federated learning for edge-intelligent networks

Z Gao, X Chen, X Shao - Science China Information Sciences, 2022 - Springer
The rapid development of machine learning and wireless communication is creating a new
paradigm for future networks, namely edge-intelligent networks. Specifically, data generated …

Iterative coupling for fully dynamic poroelasticity

M Bause, JW Both, FA Radu - … aan Zee, The Netherlands, September 30 …, 2020 - Springer
We present an iterative coupling scheme for the numerical approximation of the mixed
hyperbolic-parabolic system of fully dynamic poroelasticity. We prove its convergence in the …

A layer potential approach to inverse problems in brain imaging

P Asensio, JM Badier, J Leblond… - Journal of Inverse and …, 2024 - degruyter.com
We study the inverse source localisation problem using the electric potential measured point-
wise inside the head with stereo-ElectroEncephaloGraphy (sEEG), the electric potential …

Fast convergence of the Expectation Maximization algorithm under a logarithmic Sobolev inequality

R Caprio, AM Johansen - arXiv preprint arXiv:2407.17949, 2024 - arxiv.org
By utilizing recently developed tools for constructing gradient flows on Wasserstein spaces,
we extend an analysis technique commonly employed to understand alternating …