Browsing by Subject "Federated Learning"
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A Hybrid Machine Learning Intrusion Detection System Framework with Integrated Server and Client Models for Wireless Sensor Networks
(2024-04-15)Federated Learning (FL) has emerged as a novel distributed Machine Learning (ML) approach to tackle the challenges associated with data privacy and overload in ML-based intrusion detection systems (IDSs). Drawing inspiration ... -
Improving Efficacy and Efficiency of Hypothesis Adaptation and Federated Learning
(2023-07-28)Small computing devices, such as smartphones, constantly collect and store data that can potentially help machines learn complex tasks. However, the data contained on a single device is relatively small and biased, making ...