The twin-federated-loop architecture: a privacy-preserving and personalized approach to thermal comfort management

This journal article presents the Twin-Federated-Loop architecture, focusing on privacy preservation and personalization in thermal comfort management.

Research article

Hajer Chtioui
Mohamed Khayri Rahmani
Mireille Gettler Summa
Anouar Ben Khalifa

This journal article presents the Twin-Federated-Loop architecture, focusing on privacy preservation and personalization in thermal comfort management.

Publication date
2026-07-22
Journal / proceedings
Architectural Engineering and Design Management
Publisher
Informa UK Limited
Pages
1-23
DOI
10.1080/17452007.2026.2707402

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Citation

Hajer Chtioui; Mohamed Khayri Rahmani; Mireille Gettler Summa; Anouar Ben Khalifa. 2026-07-22. The twin-federated-loop architecture: a privacy-preserving and personalized approach to thermal comfort management. Architectural Engineering and Design Management. 1-23. https://doi.org/10.1080/17452007.2026.2707402

BECOME contributors

Mohamed Khayri Rahmani
Scientist

Mohamed Khayri Rahmani

PhD in Electrical Engineering

Mohamed Khayri Rahmani holds a PhD in Electrical Engineering and researches AI-driven energy efficiency and intelligent control.

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Dr Mireille Gettler–Summa
ExpertScientific BoardScientist

Dr Mireille Esther Gettler Summa

Senior Scientific Advisor — Data Science, Machine Learning & Applied AI

Mathematician and Data Science researcher with more than four decades of experience spanning statistical learning, Machine Learning, European R&I and applied AI.

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Publication by a BECOME Researcher

Affiliations as published
Hajer Chtioui: Université de Sousse, Ecole Nationale d’Ingénieurs de Sousse, LATIS - Laboratory of Advanced Technology and Intelligent Systems
Mohamed Khayri Rahmani: Université de Sousse, Ecole Nationale d’Ingénieurs de Sousse, LATIS - Laboratory of Advanced Technology and Intelligent Systems; Be Excellent Creative Optimist Motivated Energic Sasu (BECOME)
Mireille Gettler Summa: Be Excellent Creative Optimist Motivated Energic Sasu (BECOME); University of Paris Nanterre
Anouar Ben Khalifa: Université de Sousse, Ecole Nationale d’Ingénieurs de Sousse, LATIS - Laboratory of Advanced Technology and Intelligent Systems; Université de Jendouba, Institut National des Technologies et des Sciences du Kef
ISSN
1745-2007, 1752-7589

Scientific authors are listed above. Content record maintained by BECOME.

Related researchers

Dr Mireille Gettler–Summa
ExpertScientific BoardScientist

Dr Mireille Esther Gettler Summa

Senior Scientific Advisor — Data Science, Machine Learning & Applied AI

Mathematician and Data Science researcher with more than four decades of experience spanning statistical learning, Machine Learning, European R&I and applied AI.

View Scientific Profile
Mohamed Khayri Rahmani
Scientist

Mohamed Khayri Rahmani

PhD in Electrical Engineering

Mohamed Khayri Rahmani holds a PhD in Electrical Engineering and researches AI-driven energy efficiency and intelligent control.

View details