Abstract: Supervisory Control and Data Acquisition (SCADA) systems are crucial for modern industrial processes and securing them against increasing cyber threats is a significant challenge. This study ...
A Novel Hybrid Quantum Framework for Assessing Noise Effects on Performance of Shor’s Algorithm ()
In order to increase the dependability of quantum calculations, study explores the use of Shor’s algorithm in a noisy quantum ...
Abstract: Federated learning (FL) enables clients to train models locally, enhancing privacy by avoiding data centralization. Traditional FL assumes all clients have adequate resources, an often ...
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