Integrated sensing, computation and communication in B5G cellular Internet of Things
In this article, we investigate the issue of integrated sensing, computation and
communication (SCC) in beyond fifth-generation (B5G) cellular internet of things (IoT) …
communication (SCC) in beyond fifth-generation (B5G) cellular internet of things (IoT) …
Lattice-based mmWave hybrid beamforming
Conventional hybrid precoding and combining based transceivers require a large number of
high-resolution radio frequency (RF) phase shifters (PSs), which impose prohibitive …
high-resolution radio frequency (RF) phase shifters (PSs), which impose prohibitive …
Sparse plus low rank matrix decomposition: A discrete optimization approach
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 …
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
We address numerical solvers for a poromechanics model particularly adapted for soft
materials, as it generally respects thermodynamics principles and energy balance …
materials, as it generally respects thermodynamics principles and energy balance …
Robust design of federated learning for edge-intelligent networks
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 …
technologies have driven the emergence of a new paradigm for wireless networks, namely …
[HTML][HTML] A robust solution strategy for the Cahn-Larché equations
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 …
model for linearized elasticity in a medium with two elastic phases that evolve subject to a …
Robust federated learning for edge-intelligent networks
The rapid development of machine learning and wireless communication is creating a new
paradigm for future networks, namely edge-intelligent networks. Specifically, data generated …
paradigm for future networks, namely edge-intelligent networks. Specifically, data generated …
Iterative coupling for fully dynamic poroelasticity
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 …
hyperbolic-parabolic system of fully dynamic poroelasticity. We prove its convergence in the …
A layer potential approach to inverse problems in brain imaging
We study the inverse source localisation problem using the electric potential measured point-
wise inside the head with stereo-ElectroEncephaloGraphy (sEEG), the electric potential …
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 …
we extend an analysis technique commonly employed to understand alternating …