Towards Privacy Preserving BCIs: Profiling the Feasibility of Federated Learning for Motor Imagery Brain-Computer Interfaces.
Erica Danielle FloreaniTom ChauPublished in: SMC (2023)
Keyphrases
- brain computer interface
- privacy preserving
- motor imagery
- motor learning
- eeg signals
- spinal cord injury
- healthy subjects
- multi party
- privacy preserving data mining
- sensitive information
- signal processing
- privacy concerns
- vertically partitioned data
- neural network
- privacy preservation
- brain activity
- eeg data
- evoked potentials
- privacy sensitive
- data privacy
- preserving privacy
- private data
- sensitive data
- feature selection
- data mining