Objective 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. Fields of science engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systems Programme(s) H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme Topic(s) ERC-2016-STG - ERC Starting Grant Call for proposal ERC-2016-STG See other projects for this call Funding Scheme ERC-STG - Starting Grant Coordinator INSTITUT MINES-TELECOM Net EU contribution € 1 495 287,52 Address 19 place marguerite perey 91120 Palaiseau France See on map Region Ile-de-France Ile-de-France Essonne Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 Beneficiaries (1) Sort alphabetically Sort by Net EU contribution Expand all Collapse all INSTITUT MINES-TELECOM France Net EU contribution € 1 495 287,52 Address 19 place marguerite perey 91120 Palaiseau See on map Region Ile-de-France Ile-de-France Essonne Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00