Biography:

Nabil Abdennadher received the Diploma in Computer Engineering from Ecole Nationale des Sciences de l’Informatique (ENSI, Tunisia), and the Ph.D. degrees in Computer Science from Univ. of Valenciennes (France) in 1988 and 1991, respectively. He was assistant professor at the Univ. of Tunis II from 1992 to 1998 and research assistant at the Swiss Federal Institute of Technology (EPFL) from 1999 to 2000. In 2001, he joined the University of Applied Sciences, Western Switzerland (HES-SO, HEPIA) as assistant professor. In 2008, he became associate professor and in 2017 he was promoted to full professor. Nabil Abdennadher was head of the inIT research institute at HES-SO, HEPIA from 2010 to 2022. He is currently head of the Large-Scale Distributed Systems research group, representative of the Innovation DataBooster initiative in Swiss Romandie, member of the Editorial Board of the Journal of Reliable Intelligent Environments and member of the Swiss AI centre team. He is author and co-author of several publications and book-chapters. He is currently working on several Swiss and European projects aiming at developing AI-based tools for energy sector.

Title: Towards a self-adaptive Federated Learning (FL) based edge-to-edge framework. Application to energy sector

Abstarct: New forms of electricity production and consumption are disrupting the energy market. Renewable energy sources are intermittent and distributed in vast numbers of small-scale decentralized energy producers, which affects grid management. In parallel, consumption scenarios are changing as fossil fuels are being replaced by electricity in several sectors such as electric vehicles. Along the same lines, digital transformation is reshaping the electricity market. To name a few, internet of things, edge-to-cloud computing and machine learning techniques will allow the proliferation of intelligent versions of today's “smart meter”. We can expect that, soon, the new smart meters devices will support additional functions including:

• Monitoring: monitor/control home appliances, optimise local consumption or microgrid’s consumption,
• Learning and predicting consumption/production,
• Gathering information related to other households

Thanks to these new functionalities, we can expect new “digital energy services” to emerge. These services will rely on a self-adaptive FL-based edge-to-edge framework. This framework must:

• support IT technology such as Internet of Things (to collect and gather data), Artificial Intelligence (to set up and self-adapt predictive models), Cloud and Edge computing (to store and process data), collaborative models to insure collaboration, etc.
• unify and optimise computation and data across diverse and distributed resources from From IoT devices to edge devices to Cloud and HPC. This is what is known today as Continuum Computing.

This talk will present the architecture of a self-adaptive FL-based edge-to-edge framework applied to energy sector.

Ismael Bouassida Rodriguez, ReDCAD, University of Sfax, Tunisia
Nesrine Khabou, ReDCAD, University of Sfax, Tunisia
Khalil Drira, LAAS-CNRS, Univ Toulouse, France
Bechir Zalila, ReDCAD, University of Sfax, Tunisia
Mouna Rekik, MIRACL, University of Sfax, Tunisia

Abdulatif Alabdulatif	Qassim University, Saudi Arabia
Bernd Freisleben	University of Marburg , Germany
Carlos E. Cuesta	Rey Juan Carlos University , Spain
Chouki Tibermacine	University of Montpellier , France
Claudia Raibulet	University of Milano-Bicocca , Italy
Cecilia Rubira	University of Campinas , Brazil
Elisa Yumi Nakagawa	University of São Paulo , Brasil
Flavio Oquendo	IRISA (UMR CNRS) - Univ. Bretagne-Sud (UBS) , France
Ernesto Exposito	Univ de Pau et des Pays de l'Adour , France
Federico Bergenti	the University of Parma , Italy
Francisco Moo-Mena	Autonomous University of Yucatán , Mexico
Fairouz Fakhfakh	University of Sfax , Tunisia
Henry Muccini	University of L'Aquila , Italy
Ian Gorton	Northeastern University , USA
Imen Abdennadher	University of Sfax , Tunisia
Mehdi Khouja	University of Gabes , Tunisia
Miriam Capretz	University of Western Ontario , Canada
Mohamed Mosbah	LaBRI - University of Bordeaux , France
Mohamed Jmaiel	University of Sfax , Tunisia
Mohand-Said Hacid	Univ Claude Bernard Lyon 1 - UCBL , France
Mouna Rekik	University of Sfax , Tunisia
Mourad Oussalah	LINA Laboratory, University of Nantes , France
Nikolaos Georgantas	INRIA , France
Philippe Roose	LIUPPA/UPPA , France
Riadh Ben Halima	University of Sfax , Tunisia
Sami Yangui	University of Toulouse , France
Saul Pomares	Autonomous University of Yucatán , Mexico
Slim Kallel	University of Sfax , Tunisia
Uwe Zdun	University of Vienna , Austria
Wafa Gabsi	University of Sfax , Tunisia
Yamine Ait Ameur	IRIT/INPT-ENSEEIHT , France

Dr. Ismael Bouassida Rodriguez
bouassida@redcad.org
ReDCAD Reserach Laboratory
B.P. 1173, Sfax, Tunisia

 

 

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