ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale.
Gopinath ChennupatiMilind RaoGurpreet ChadhaAaron EakinAnirudh RajuGautam TiwariAnit Kumar SahuAriya RastrowJasha DroppoAndy OberlinBuddha NandanoorPrahalad VenkataramananZheng WuPankaj SitpurePublished in: KDD (2022)
Keyphrases
- incremental learning
- privacy preserving
- automatic speech recognition
- speech recognition
- privacy preserving data mining
- privacy preservation
- vertically partitioned data
- speech signal
- hidden markov models
- broadcast news
- horizontally partitioned data
- sensitive information
- conversational speech
- incremental learning algorithm
- multi party
- supervised learning
- semi supervised
- preserving privacy
- sensitive data
- data privacy
- scalar product
- learning process
- private information
- privacy protection
- privacy preserving association rule mining
- privacy sensitive
- pattern recognition
- data perturbation
- privacy concerns
- secure multiparty computation
- neural network
- partitioned data
- differential privacy
- data sets
- privacy requirements
- privacy issues
- data mining
- non stationary
- training data
- high dimensional
- noisy images