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Lorenzo Ridolfi, David Naseh, Swapnil Sadashiv Shinde and Daniele Tarchi
With the advent of 6G technology, the proliferation of interconnected devices necessitates a robust, fully connected intelligence network. Federated Learning (FL) stands as a key distributed learning technique, showing promise in recent advancements. How...
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Mehreen Tahir and Muhammad Intizar Ali
Federated Learning (FL) is a state-of-the-art technique used to build machine learning (ML) models based on distributed data sets. It enables In-Edge AI, preserves data locality, protects user data, and allows ownership. These characteristics of FL make ...
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Giulio Caldarelli
Whereas the use of distributed ledger technologies has previously been limited to cryptocurrencies, other sectors?such as healthcare, supply chain, and finance?can now benefit from them because of bitcoin scripts and smart contracts. However, these appli...
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Rubayyi Alghamdi and Martine Bellaiche
Using the Internet of Things (IoT) for various applications, such as home and wearables devices, network applications, and even self-driven vehicles, detecting abnormal traffic is one of the problematic areas for researchers to protect network infrastruc...
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Husam Suleiman
Cloud?fog computing is a large-scale service environment developed to deliver fast, scalable services to clients. The fog nodes of such environments are distributed in diverse places and operate independently by deciding on which data to process locally ...
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