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ILASR: Privacy-Preserving Incremental Learning for Automati..:

, In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,

Chennupati, Gopinath ; Rao, Milind ; Chadha, Gurpreet... - p. 2780-2788 , 2022

Link: https://dl.acm.org/doi/10.1145/3534678.3539174

RT 
T1 <cTitle>Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining</cTitle>: T1 <Title>ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3539174&Exemplar=1&LAN=DE
				
A1 Chennupati, Gopinath
A1 Rao, Milind
A1 Chadha, Gurpreet
A1 Eakin, Aaron
A1 Raju, Anirudh
A1 Tiwari, Gautam
A1 Sahu, Anit Kumar
A1 Rastrow, Ariya
A1 Droppo, Jasha
A1 Oberlin, Andy
A1 Nandanoor, Buddha
A1 Venkataramanan, Prahalad
A1 Wu, Zheng
A1 Sitpure, Pankaj
PB ACM
YR 2022
K1 automatic speech recognition
K1 incremental learning
K1 privacy-preserving machine learning
K1 Computing methodologies
K1 Artificial intelligence
K1 Natural language processing
K1 Speech recognition
K1 Security and privacy
K1 Security services
K1 Privacy-preserving protocols
K1 Machine learning
K1 Machine learning approaches
K1 Neural networks
K1 Learning settings
K1 Semi-supervised learning settings
SP 2780
OP 2788
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3534678.3539174
DO https://dl.acm.org/doi/10.1145/3534678.3539174
SF ELIB - SuUB Bremen

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