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Empowering Prosumer Communities in Smart Grid with Wireless Communications and Federated Edge Learning
In addition to preserving prosumers' privacy, we show through evaluations that training prediction models using Federated Learning yields high accuracy for different energy resources while reducing the communication overhead.
An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks
Based on several parameters such as accuracy, precision, recall, F1 score, and log loss, we experimentally compared the aforementioned ML algorithms.
Access Control Mechanisms in Named Data Networks: A Comprehensive Survey
Named Data Networking (NDN) is one of the most recent and active ICN architectures that provides a clean slate approach for Internet communication.
Networking and Internet Architecture
A Federated Filtering Framework for Internet of Medical Things
Based on the dominant paradigm, all the wearable IoT devices used in the healthcare sector also known as the internet of medical things (IoMT) are resource constrained in power and computational capabilities.
Networking and Internet Architecture
