Objectif Emergence of a large number of distributed decision and control systems (e.g. in health care, transportation, and energy management), combined with increasing demands of traditional communications (e.g. due to multiview videos), create an imminent need for highly improved communication systems. We advocate that—combined with improvements in battery, antenna, and chip technologies—context- and/or task-oriented communication techniques will bring the desired breakthrough. Specifically, context- oriented techniques will greatly improve performance, because future networks have complex infrastructures (with cache-memories, cloud-RANs, etc.) allowing the terminals to collect side-informations about other terminals’ data or signals, and because many distributed decision systems rely on numerous devices with correlated measurements. Task-oriented techniques promise even larger gains, especially in distributed decision systems where decisions take value on a small range, and thus the traditional approach of communicating sequences of observed signals results in a huge overhead.Information theory, and in particular distributed joint source-channel coding, provides a general framework for designing context-oriented communication techniques. Such a general framework is missing for task-oriented communication. Previous results indicate that creative usages of information theory on its frontier to statistics and decision theory are well-suited for designing task-oriented communication techniques for applications as diverse as coordination of smart devices, distributed hypothesis testing, and clustering of data.Our goal is to design context- and/or task-oriented communication techniques for these three applications and for cache-aided communication. Besides the high gains that our new techniques bring directly to these applications, the complementarity of our applications and obtained results will facilitate a future general framework for context- and task-oriented communication. Champ scientifique engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systems Programme(s) H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme Thème(s) ERC-2016-STG - ERC Starting Grant Appel à propositions ERC-2016-STG Voir d’autres projets de cet appel Régime de financement ERC-STG - Starting Grant Institution d’accueil INSTITUT MINES-TELECOM Contribution nette de l'UE € 1 495 287,52 Adresse 19 PLACE MARGUERITE PEREY 91120 Palaiseau France Voir sur la carte Région Ile-de-France Ile-de-France Essonne Type d’activité Higher or Secondary Education Establishments Liens Contacter l’organisation Opens in new window Site web Opens in new window Participation aux programmes de R&I de l'UE Opens in new window Réseau de collaboration HORIZON Opens in new window Coût total € 1 495 287,52 Bénéficiaires (1) Trier par ordre alphabétique Trier par contribution nette de l'UE Tout développer Tout réduire INSTITUT MINES-TELECOM France Contribution nette de l'UE € 1 495 287,52 Adresse 19 PLACE MARGUERITE PEREY 91120 Palaiseau Voir sur la carte Région Ile-de-France Ile-de-France Essonne Type d’activité Higher or Secondary Education Establishments Liens Contacter l’organisation Opens in new window Site web Opens in new window Participation aux programmes de R&I de l'UE Opens in new window Réseau de collaboration HORIZON Opens in new window Coût total € 1 495 287,52