-------- Ursprüngliche Nachricht -------- Von: Giovanni Neglia giovanni.neglia@INRIA.FR Gesendet: 20. März 2020 08:10:46 MEZ An: tccc-announce@COMSOC.ORG Betreff: [TCCC-ANNOUNCE] CFP InThingS: workshop on IoT and AI, submission deadline on March 29th

1st International Workshop on "Intelligent Things and Services" ( InThingS 2020)

[ http://inthings2020.unict.it/ | http://inthings2020.unict.it ]

Jointly held with IEEE WoWMoM 2020, Cork, Ireland, 15-18, June 2020

[ http://www.cs.ucc.ie/wowmom2020/ | http://www.cs.ucc.ie/wowmom2020/ ]

Building on the success of eight editions of the IEEE Workshop on the Internet of Things: Smart Objects and Services (IoT-SoS), this year we propose a workshop that looks ahead towards a vibrant future where a new level of awareness arises from the IoT devices thanks to context, cooperation, and federation, leading to a new revolution of Intelligent Things and Services ( InThingS ) that will re-shape technology and society.

The Internet of Things (IoT) is shaping the evolution of the future Internet by connecting people anytime and everywhere, as well as inanimate objects. By providing objects with embedded communication capabilities and a common addressing scheme, a highly distributed and ubiquitous network of seamlessly connected heterogeneous devices is formed, which can be fully integrated into the current Internet and mobile networks, thus allowing for the development of new intelligent services available anytime, anywhere, by anyone and anything. This year we want to shed light on the use of machine learning tools to support services and perform resource management in intelligent IoT scenarios.

The aim of this workshop is to bring together practitioners and researchers from both academia and industry in order to have a forum for discussion and technical presentations on the recent advances in theory, application, and implementation of the Internet of Things concept with a specific focus on the use of machine learning and/or artificial intelligence techniques on technologies, protocols, algorithms, and services.

Many applications with high social and business impact fall under the IoT umbrella, including personal healthcare, smart grid, surveillance, home automation, intelligent transportation, while it is expected that new ones will emerge once the enabling technologies reach a stable state. Topics of interest include, but are not limited to:

- Novel ML/AI for IoT devices and services: applications, services, business processes, and enabling standards and technologies - ML/AI techniques for devices with limited capabilities in terms of computation, memory, storage, connectivity or energy, e.g., compressed models and federated learning - Distributed cloud technologies and algorithms; in-network computing - System architectures and reference platforms enabling intelligent things and services - Modeling and simulation of large-scale scenarios of IoT devices and services with embedded intelligence - Testbeds, prototypes, and pilots for evaluation of intelligent things and services in a realistic environment - Solutions to increases trust in IoT devices and services: security, privacy, governance, ownership, and accuracy of data and interactions - Ethical issues with regard to the increasing intelligence of IoT devices and services and their large-scale adoption - Flexible and dynamic distribution of intelligence in the thing-to-cloud continuum

The aim of this workshop is to bring together practitioners and researchers from both academia and industry in order to have a forum for discussion and technical presentations on the recent advances in theory, application and implementation of the Internet of Things concept: Technologies, protocols, algorithms, and services.

Important dates Manuscript submission EXTENDED DEADLINE March 29 , 2020 Acceptance notification EXTENDED DEADLINE April 22 , 2020 Camera-ready April 30 , 2020 Workshop date June 15 , 2020

Workshop co-chairs:

Laura Galluccio (University of Catania, Italy) Giovanni Neglia (Inria, Universite' de la Cote d'Azur, France) Vincent Poor (Princeton University, USA) Tony Quek (Singapore University of Technology and Design, Singapore)

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