Abstract: While federated learning enables collaborative model training with preserved data locality, it remains vulnerable to evolving backdoor attacks that exploit its distributed architecture.
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 ...
⚠️ 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 ...
AI is inspiring organizations to rethink a fundamental IT concept: the data center. For decades, the data center was a centralized place. It was a handful of large, secure facilities where ...
The Dallas Jewish Community Foundation 2025-2026 board of trustees at the organization’s annual meeting, where philanthropic leaders shared the importance and impact of strategic giving. Sharon Ellman ...
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 ...
This is read by an automated voice. Please report any issues or inconsistencies here. USWNT coach Emma Hayes is using a January training camp to evaluate young prospects ahead of World Cup qualifying.
Enphase on how distributed energy assets could boost data centers With data center demand rising and residential batteries evolving from backup power to grid assets, Marco Krapels, SVP and chief ...
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