Conference item
TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service
- Abstract:
-
Machine learning methods are widely used for a variety of prediction problems. Prediction as a service is a paradigm in which service providers with technological expertise and computational resources may perform predictions for clients. However, data privacy severely restricts the applicability of such services, unless measures to keep client data private (even from the service provider) are designed. Equally important is to minimize the nature of computation and amount of communication requ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Authors
Funding
+ Engineering and Physical Sciences Research Council
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Funding agency for:
Kanade, V
Grant:
EP/N510129/1
+ Engineering and Physical Sciences Research Council
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Funding agency for:
Kusner, M
Grant:
EP/N510129/1
+ Engineering and Physical Sciences Research Council
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Funding agency for:
Gascon, A
Grant:
EP/N510129/1
Bibliographic Details
- Publisher:
- Proceedings of Machine Learning Research Publisher's website
- Journal:
- International Conference on Machine Learning Journal website
- Volume:
- 80
- Pages:
- 4490-4499
- Series:
- Proceedings of the 35th International Conference on Machine Learning, Stockholm, Sweden, Tuesday July 10 -- Sunday July 15, 2018
- Host title:
- Proceedings of Machine Learning Research
- Publication date:
- 2018-08-20
- Acceptance date:
- 2018-05-11
- ISSN:
-
1938-7228
- Source identifiers:
-
847350
Item Description
- Pubs id:
-
pubs:847350
- UUID:
-
uuid:6bc9b7a2-0dfb-442e-be8d-dfae9b76f113
- Local pid:
- pubs:847350
- Deposit date:
- 2018-07-05
Terms of use
- Copyright holder:
- Sanyal, et al
- Copyright date:
- 2018
- Notes:
- © Sanyal, et al 2018. This is the publisher's version of the article. The final version is available online from Proceedings of Machine Learning Research at: http://proceedings.mlr.press/v80/sanyal18a.html
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