Tag: networks
TracInAD: Measuring Influence for Anomaly Detection
summary: As with many other tasks, neural networks prove very effective for anomaly detection purposes. However, very few deep-learning models are suited for detecting anomalies on tabular datasets. This talk proposes a novel methodology to flag anomalies based on TracIn, an influence measure initially introduced for explicability purposes. The proposed ...
Introduction à l'apprentissage par renforcement
summary: Cet exposé proposera une introduction à l'apprentissage par renfocement, en présentant les fonctions à maximiser et les types d'approches employées. La présentation suivra l'évolution historique du domaine, du Q-Learning au Deep Reinforcement Learning, en passant par des travaux étant devenus populaires tel que AlphaGo. Nous conclurons ...
Optimal curing policy for epidemic spreading over a community network with heterogeneous population
summary: The design of an efficient curing policy, able to stem an epidemic process at an affordable cost, has to account for the structure of the population contact network supporting the contagious process. Thus, we tackle the problem of allocating recovery resources among the population, at the lowest cost possible ...
Economics of Age of Information (AoI) Management: Pricing and Competition
Summary: Fueled by the rapid development of communication networks and sensors in portable devices, today many mobile users are invited by content providers to sense and send back real-time useful information (e.g., traffic observations and sensor data) to keep the freshness of the online platforms’ content updates. However, due ...
Self-Stabilization and Byzantine Tolerance for Maximal Matching
Summary: We analyse the impact of transient and Byzantine faults on the construction of a maximal matching in a general network. In particular, we consider the self-stabilizing algorithm called AnonyMatch presented by Cohen et al. in PPL'2016 for computing such a matching. Since self-stabilization is transient fault tolerant, we ...
A Two-level Auction for Resource Allocation in Multi-tenant C-RAN
Summary: Next generation (5G) mobile networks are targeting twenty five-fold data rates provided by the current generation of mobile networks, with higher efficiency, enhanced mobility support and seamless management of connected devices. In order to provide such features, at reduced Capital Expenditure (CAPEX) and Operational Expenditure (OPEX), the Cloud- RAN ...
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