no code implementations • 25 Jan 2024 • Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif, Boyu Wang, Qiang Yang
Federated learning has been rapidly evolving and gaining popularity in recent years due to its privacy-preserving features, among other advantages.
no code implementations • 15 Mar 2023 • Hossein Hassani, Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif
The performance of fault diagnosis systems is highly affected by data quality in cyber-physical power systems.
no code implementations • 13 Oct 2022 • Ehsan Hallaji, Roozbeh Razavi-Far, Meng Wang, Mehrdad Saif, Bruce Fardanesh
Using this information, the signal retrieval module can easily recover the original control signal and remove the injected false data.
no code implementations • 5 Jul 2022 • Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif
The advent of federated learning has facilitated large-scale data exchange amongst machine learning models while maintaining privacy.