IEEE

Improved Distributed Backdoor Attacks in Federated Learning by Density-Adaptive Data Poisoning and Projection-Based Gradient Updating

Abstract: While federated learning enables collaborative model training with preserved data locality, it remains vulnerable to evolving backdoor attacks that exploit its distributed architecture.
IEEE

Enhancing Resilient Operation of Distributed Energy Resources Using an Improved Machine Learning-Based IoT Framework Against Cyberattack Perturbation

Abstract: The most realistic way to achieve large-scale integration of distributed energy resources (DERs) into the current grid system is to implement microgrids. These systems function as localized ...
GitHub

AI and Humanity in Collaboration: Exploring the Riemann Hypothesis

⚠️ Note: The figure generation scripts are currently being consolidated from multiple Jupyter notebooks. Python .py versions will be added progressively for reproducibility. 🗓️ This research was ...
GitHub

RNN-DAS: A New Deep Learning Approach for Detection and Real-Time Monitoring of Volcano-Tectonic Events Using Distributed Acoustic Sensing

RNN-DAS is an innovative Deep Learning model based on Recurrent Neural Networks (RNNs) with Long Short-Term Memory (LSTM) cells, developed for real-time Volcano-seismic Signal Recognition (VSR) using ...