NEO Seminar: Erol Gelenbe – Protecting IoT Servers Against Flood Attacks with Quasi Deterministic Transmission
Speaker: Erol Gelenbe, Institute of Theoretical and Applied Informatics, Polish Academy of Sciences (IITIS-PAN), and CNRS I3S Univ. Cote d’Azur “Protecting IoT Servers Against Flood Attacks with Quasi Deterministic Transmission” Time and Place: Feb. 22, 2024 at 14h30 in Salle…
NEO Seminar: The Complexity of Optimizing Atomic Congestion
Fionn Mc Inerney, TU Wien, Austria Date: 11 January 2024 Location: Lagrange gris
NEO Seminar: Stochastic matching and online matching algorithms
Nahuel Soprano Loto. LAAS-CNRS Date: 18 December 2023 Location: Euler Bleu Abstract:In this talk, we will delve into two distinct models that originate from different backgrounds: stochastic matching models and online matching algorithms.Stochastic matching models are models in which items…
NEO Seminar: Machine Learning in Untrusted Environment
Nirupam Gupta, EPFL Date: 14 December 23, from 11:00 until 12:00 Place: Lagrange gris Abstract: Recent AI systems make use of machine-learning algorithms, where the computing system learns from data (observations) in order to adjust its behavior. In fact, the…
Thesis defense
Othmane MARFOQ, Phd Student in NEO team and supervised by Giovanni NEGLIA, has defended his thesis on Thursday, December 7th 2023, in Euler violet Room, from 3:00 pm. Congratulations Othmane! Thesis title: Tackling Heterogeneity in Federated Learning Systems
NEO Seminar: Gholamali Aminian (The Alan Turing Institute, UK)
Location: Room Lagrange Gris Date: 26 October 2023, from 11:00 AM until 12:00 PM (CEST) Speaker: Gholamali Aminian (The Alan Turing Institute, UK) Title: Generalization error via measure-valued calculus Abstract: We propose a novel framework for exploring weak and $L_2$…
Perlaza re-appointed at Princeton University as Visiting Research Collaborator in the ECE Department
A long-standing collaboration between Inria and Princeton University enters its tenth year with the re-appointment of Samir M. Perlaza (NEO) as a Visiting Research Collaborator in the ECE Department.
First public release of Marmote and MarmoteMDP
Marmote is a software library and C++ API for specifying Markov Chains (state spaces and transitions) and solving them via a large variety of methods. MarmoteMDP is dedicated to modeling with MDPs.
The first public release of both libraries is available through the web site with installation instructions, documentation and many examples.