Seminars

In the context of team Cornet’s seminars, Andrea Fox (LIA) will present his research work on Safe Reinforcement Learning for Video Admission Control, on December 8, 2023, at 11:35 in the meeting room. Abstract: Mobile video cameras have become a pervasive commodity and represent an important candidate source to enhance video analytic applications. Yet, while available in large quantities, the limitations of the edge computing infrastructure require the careful selection of which video flows to process at any point in time to maximize the amount of information extracted by deployed applications. In this paper, we present an admission control scheme for mobile video streams originating from different areas and dispatched to multiple processing servers over an edge computing infrastructure. We introduce a model rooted in the theory of Constrained Markov Decision Processes (CMDPs) that captures the problem of ensuring adequate area coverage to applications, while accounting for constraints of edge servers and access network capacity. On top of this model, we develop two new policies based on specialized primal-dual constrained Reinforcement Learning methods that solve the optimal admission control problem. The first, called DR-CPO, adopts reward decomposition reinforcement learning. This technique effectively mitigates state-space explosion, achieves optimality, and significantly accelerates Plus d'infos

In the context of team Cornet’s seminars, Olivier Bilenne (LIA) will present his research work on Implementing fictitious play in partially observable stochastic games, on November 24, 2023, 11:35 in the meeting room. Abstract: Extensions of fictitious play to stochastic games have been recently examined in combination with reinforcement learning techniques inherent to Markov decision processes. We revisit this approach in the context of partially observable stochastic games. For this, we consider a two-player (finite-state) zero-sum stochastic game where one player (the attacker) has full visibility of the system, whereas the other player (the defender) has no access to the state of the opponent and must instead compose with public sources of information (in our setting: the actions played and their associated payoffs). We study a fictitious play dynamics where the players best response to the estimated empirical frequencies of action of their opponent. This sequence of play requires from the players to form beliefs on both their opponent’s strategy and on their own continuation payoff (modeled by a Q-function), based on the (full or partial) information that is available to them. The strategy estimation scheme, in particular, features a correction mechanism making up for delayed symptoms in the partially Plus d'infos

In the context of team Cornet’s seminars, Willie Kouam (LIA) will present his research work on Asymmetric Centrality Game against Network Epidemic Propagation, on September 29, 2023, at 11:35 in the meeting room.

In the context of team Cornet’s seminars, Wesley Coelho (Pasqal) will present his research work on Solving optimization problems with PASQAL quantum computers, on September 14, 2023, at 11:35 in the meeting room. Abstract: The emergence of quantum devices opens many exciting perspectives in the high-performance computing world. Among other quantum platforms, fully programmable neutral atom devices display unique characteristics and, by better controlling quantum entanglement and superposition, they represent a powerful tool to tackle complex problems and computing challenges. In this talk, Clément de Terrasson and Wesley Coelho will show how PASQAL Quantum Computers are used to address complex optimization problems. They will also propose a workshop where participants will be able to use PASQAL solutions to solve optimization problems.

In the context of team Cornet’s seminars, Antoine Dejonghe (LIA) will present his research work on June 30, 2023, at 11:35 in the meeting room.

In the context of team Cornet’s seminars, Éric Bourreau (LIRMM) will present his research work on Quantum Computers, a New Information Technology Revolution?, on June 23, 2023, at 11:35 in the meeting room. Abstract: The concept of quantum computing dates back to the late 1980s, and the first quantum algorithms were born in the 1990s. However, the novelty of recent years is the construction of actual quantum machines that are beginning to validate the theory. This seminar will attempt to explain how the definition of QuBits (quantum bits) gives rise to a new paradigm of computation. We will try to understand what computational power is now being offered and at what point quantum optimization could become competitive with ‘classical’ optimization methods.

In the context of team Cornet’s seminars, Andrea Fox (LIA) will present her research work on June 15, 2023, at 11:35 in the meeting room.

In the context of team Cornet’s seminars, Paolo Zappala (LIA/Orange) will present his research work on Extensive-form games with perfect information, on June 6, 2023, at 11:35 in the meeting room.

In the context of team Cornet’s seminars, Shane Mannion (University of Limerick) will present his research work on Correlations on complex networks and their degree distributions, on April 5, 2023, at 11:35 in the meeting room. Abstract: First we look at long range correlations in complex networks. The assortativity of a network, that is, the correlation between properties of neighboring nodes can have important practical implications. For example, a targeted vaccination program will be less effective in an assortative social network (where high-degree people mix with others of high degree). We are concerned with whether these correlations between nodes extend to nodes that are separated by more than a single edge. In this talk I will discuss how the correlation between properties of connected nodes in a social network changes as the distances between those nodes increases. This lead us to research on fitting degree distributions, where we introduce a method for fitting to the degree distributions of complex network datasets, such that the most appropriate distribution from a set of candidate distributions is chosen while maximizing the portion of the distribution to which the model is fit. Current methods for fitting to degree distributions in the literature are inconsistent Plus d'infos

In the context of team Cornet’s seminars, Rachid Elazouzi (LIA) will present his research work on Controlled Matching Game for Resource Allocation and User Association in WLANs, on March 31, 2023, at 11:35 in the meeting room. Abstract: In multi-rate IEEE 802.11 WLANs, the traditional user association based on the strongest received signal and the well known anomaly of the MAC protocol can lead to overloaded Access Points (APs), and poor or heterogeneous performance. Our goal is to propose an alternative game-theoretic approach for association. We model the joint resource allocation and user association as a matching game with complementarities and peer effects consisting of selfish players solely interested in their individual throughputs. Using recent game-theoretic results we first show that various resource sharing protocols actually fall in the scope of the set of stability-inducing resource allocation schemes. The game makes an extensive use of the Nash bargaining and some of its related properties that allow to control the incentives of the players. We show that the proposed mechanism can greatly improve the efficiency of 802.11 with heterogeneous nodes and reduce the negative impact of peer effects such as its MAC anomaly. The mechanism can be implemented as a virtual Plus d'infos