Zobrazeno 1 - 10
of 2 534
pro vyhledávání: '"Baccelli, A."'
Autor:
Huang, Zhaolan, Tousnakhoff, Adrien, Kozyr, Polina, Rehausen, Roman, Bießmann, Felix, Lachlan, Robert, Adjih, Cedric, Baccelli, Emmanuel
Monitoring biodiversity at scale is challenging. Detecting and identifying species in fine grained taxonomies requires highly accurate machine learning (ML) methods. Training such models requires large high quality data sets. And deploying these mode
Externí odkaz:
http://arxiv.org/abs/2407.21453
Autor:
Lee, Junse, Baccelli, Francois
This paper uses the theory of point processes and stochastic geometry to quantify the sky visibility experienced by users located in an urban environment. The general idea is to represent the buildings of this environment as a stationary marked point
Externí odkaz:
http://arxiv.org/abs/2403.08930
Consider a stationary sequence $X=(X_n)$ of integer-valued random variables with mean $m \in [-\infty, \infty]$. Let $S=(S_n)$ be the stochastic process with increments $X$ and such that $S_0=0$. For each time $i$, draw an edge from $(i,S_i)$ to $(j,
Externí odkaz:
http://arxiv.org/abs/2403.05657
The typical federated learning workflow requires communication between a central server and a large set of clients synchronizing model parameters between each other. The current frameworks use communication protocols not suitable for resource-constra
Externí odkaz:
http://arxiv.org/abs/2401.14056
The reconfigurable intelligent surface (RIS) technology allows one to engineer spatial diversity in complex cellular networks. This paper provides a framework for the system-level performance assessment of RIS-assisted networks and in particular down
Externí odkaz:
http://arxiv.org/abs/2310.06754
Autor:
Dragovic, Natasa, Baccelli, Francois
We introduce a stochastic geometry dynamics inspired by opinion dynamics, which captures the essence of modern asymmetric social networks, with leaders and followers. Opinions are represented by points in the Euclidean space and the leader of an agen
Externí odkaz:
http://arxiv.org/abs/2309.04864
With the growing interest in satellite networks, satellite-terrestrial integrated networks (STINs) have gained significant attention because of their potential benefits. However, due to the lack of a tractable network model for the STIN architecture,
Externí odkaz:
http://arxiv.org/abs/2307.03343
Results from the TinyML community demonstrate that, it is possible to execute machine learning models directly on the terminals themselves, even if these are small microcontroller-based devices. However, to date, practitioners in the domain lack conv
Externí odkaz:
http://arxiv.org/abs/2306.14574
Autor:
Feng, Ke, Baccelli, François
This work develops a novel approach toward performance guarantees for all links in arbitrarily large wireless networks. It introduces a spatial network calculus, consisting of spatial regulation properties for stationary point processes and the first
Externí odkaz:
http://arxiv.org/abs/2302.02001
Autor:
Choi, Chang-Sik, Baccelli, François
To model existing or future low Earth orbit (LEO) satellite networks leveraging multiple constellations, we propose a simple analytical approach to represent the clustering of satellites on orbits. More precisely, we develop a variable-altitude Poiss
Externí odkaz:
http://arxiv.org/abs/2301.02469