Fully Homomorphic Encryption for Private Federated Learning
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Updated
Dec 13, 2023 - Python
Fully Homomorphic Encryption for Private Federated Learning
A data analysis for driver-behaviour-identification
[JFI 22] BiRSwinT: Bilinear Full-Scale Residual Swin-Transformer for Fine-Grained Driver Behavior Recognition
Driver behaviour classification models (SVM, RF and ANN) developed with Python using CARLA simulation data.
Evaluating quality of data augmentation using CARLA and SUMO driving simulators for classifying normal and aggressive behaviors of UAH-driveset.
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