5 citations · 11 across the 10 of their papers we have counts for
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cs.LG2022
Robust, Deep, and Reinforcement Learning for Management of Communication and Power Networks
Alireza Sadeghi
This thesis develops data-driven machine learning algorithms to managing and optimizing the next-generation highly complex cyberphysical systems, which desperately need ground-brea…
cs.LG2021★ 5 cited
Distributionally Robust Semi-Supervised Learning Over Graphs
Alireza Sadeghi, Meng Ma, Bingcong Li +1
Semi-supervised learning (SSL) over graph-structured data emerges in many network science applications. To efficiently manage learning over graphs, variants of graph neural network…
cs.LG2020★ 3 cited
Learning while Respecting Privacy and Robustness to Distributional Uncertainties and Adversarial Data
Alireza Sadeghi, Gang Wang, Meng Ma +1
Data used to train machine learning models can be adversarial--maliciously constructed by adversaries to fool the model. Challenge also arises by privacy, confidentiality, or due t…