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Found 4 papers, 0 papers with code
Federated Battery Diagnosis and Prognosis
Battery diagnosis, prognosis and health management models play a critical role in the integration of battery systems in energy and mobility fields.
A Variational Autoencoder Framework for Robust, Physics-Informed Cyberattack Recognition in Industrial Cyber-Physical Systems
This data-driven framework considers the temporal behavior of a generic physical system that extracts features from the time series of the sensor measurements that can be used for detecting covert attacks, distinguishing them from equipment faults, as well as localize the attack/fault.
Deep Learning based Covert Attack Identification for Industrial Control Systems
This data-driven framework considers the temporal behavior of a generic physical system that extracts features from the time series of the sensor measurements that can be used for detecting covert attacks, distinguishing them from equipment faults, as well as localize the attack/fault.
BAFFLE : Blockchain Based Aggregator Free Federated Learning
In order to characterize the performance of BAFFLE, we conduct experiments on a private Ethereum network and use the centralized and aggregator driven methods as our benchmark.
