Secure federated learning with fully homomorphic encryption for iot communications
NM Hijazi, M Aloqaily, M Guizani… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The emergence of the Internet of Things (IoT) has revolutionized people's daily lives,
providing superior quality services in cognitive cities, healthcare, and smart buildings …
providing superior quality services in cognitive cities, healthcare, and smart buildings …
Intrusion Detection based on Federated Learning: a systematic review
JL Hernandez-Ramos, G Karopoulos… - arXiv preprint arXiv …, 2023 - arxiv.org
The evolution of cybersecurity is undoubtedly associated and intertwined with the
development and improvement of artificial intelligence (AI). As a key tool for realizing more …
development and improvement of artificial intelligence (AI). As a key tool for realizing more …
Exploring Deep Federated Learning for the Internet of Things: A GDPR-Compliant Architecture
With the emergence of intelligent services and applications powered by artificial intelligence
(AI), the Internet of Things (IoT) affects many aspects of our daily lives. Traditional …
(AI), the Internet of Things (IoT) affects many aspects of our daily lives. Traditional …
Resource efficient federated deep learning for IoT security monitoring
Federated Learning (FL) uses a distributed Machine Learning (ML) concept to build a global
model using multiple local models trained on distributed edge devices. A disadvantage of …
model using multiple local models trained on distributed edge devices. A disadvantage of …
Collaborative IoT learning with secure peer-to-peer federated approach
NM Hijazi, M Aloqaily, M Guizani - Computer Communications, 2024 - Elsevier
Federated Learning (FL) has emerged as a powerful model for training collaborative
machine learning (ML) models while maintaining the privacy of participants' data. However …
machine learning (ML) models while maintaining the privacy of participants' data. However …