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SoK: Assessing the State of Applied Federated Machine Learning
Machine Learning (ML) has shown significant potential in various applications; however, its adoption in privacy-critical domains has been limited due to concerns about data privacy.
Tensor networks for quantum machine learning
Once developed for quantum theory, tensor networks have been established as a successful machine learning paradigm.
Extraction and Analysis of Highway On-Ramp Merging Scenarios from Naturalistic Trajectory Data
The efficacy of the approach is shown with a dataset of NTD collected on the TFNDS.
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