H
Hanine Tout
Researcher at École de technologie supérieure
Publications - 18
Citations - 772
Hanine Tout is an academic researcher from École de technologie supérieure. The author has contributed to research in topics: Mobile device & Cloud computing. The author has an hindex of 9, co-authored 18 publications receiving 182 citations. Previous affiliations of Hanine Tout include Lebanese American University & Université du Québec.
Papers
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Journal ArticleDOI
A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond
Sawsan Abdulrahman,Hanine Tout,Hakima Ould-Slimane,Azzam Mourad,Chamseddine Talhi,Mohsen Guizani +5 more
TL;DR: In this article, a survey of federated learning (FL) topics and research fields is presented, including core system models and designs, application areas, privacy and security, and resource management.
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Internet of Things intrusion Detection: Centralized, On-Device, or Federated Learning?
TL;DR: Experimental results and empirical analysis explore the robustness and advantages of the proposed Federated Learning detection model by reaching an accuracy close to that of the centralized approach and outperforming the distributed unaggregated on-device trained models.
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FedMCCS: Multicriteria Client Selection Model for Optimal IoT Federated Learning
TL;DR: FedMCCS is proposed, a multicriteria-based approach for client selection in federated learning that outperforms the other approaches by reducing the number of communication rounds to reach the intended accuracy and handling the least number of discarded rounds.
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Ad Hoc Vehicular Fog Enabling Cooperative Low-Latency Intrusion Detection
TL;DR: A vehicular-edge computing (VEC) fog-enabled scheme allowing offloading intrusion detection tasks to federated vehicle nodes located within nearby formed ad hoc vehicular fog to be cooperatively executed with minimal latency is proposed.
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A Novel Ad-Hoc Mobile Edge Cloud Offering Security Services Through Intelligent Resource-Aware Offloading
TL;DR: An ad-hoc mobile edge cloud that takes advantage of Wi-Fi Direct as means of achieving connectivity, sharing resources, and integrating security services among nearby mobile devices is proposed and provides optimal offloading decision and distribution of security services without sacrificing security.