As part of the MALADES project, we presented innovative approaches for the integration of LLM in health centers. The aim is to equip these centers with NLP tools derived from LLMs and adapted for the biomedical field while maintaining sovereignty of the models and complete control of their health data. Plus d'infos
Le projet DELIGHT vise à évaluer finement et à réduire la consommation énergétique de l’apprentissage fédéré en utilisant différents leviers (compression de gradient, data summarization, speed-scaling, etc.). Plus d'infos
Speaker: Prof. Piet Van Mieghem, Delft University of Technology (https://www.nas.ewi.tudelft.nl/people/Piet) Title: Linear Processes on Networks Abstract: From a network science point of view, we will discuss linear processes on a graph, which are the easiest, but also the most elegant processes. We start with the Laplacian matrix of a graph and concentrate on a flow problem in networks. From the spectral decomposition of the Laplacian, we will introduce the simplex of an undirected, possibly weighted graph. The simplex geometry of a graph is, besides the topology domain and the spectral domain, the third equivalent description of a graph. Continuous-time Markov processes are described by the Chapman-Kolmogorov (linear) equations, in which the appearing infinitesimal generator is, in fact, a weighted Laplacian of the Markov graph. We will discuss Markovian epidemics on a fixed graph, show limitations of the linear theory on graphs and introduce a mean-field approximation, a powerful method from physics, that results into non-linear governing equations. We will end with recent work on non-Markovian epidemics on a fixed graph. Bio available here: https://www.nas.ewi.tudelft.nl/people/Piet/
Laboratoire Informatique d'Avignon — Avignon Université