Distributed Learning to Protect Privacy in Multi-centric Clinical Studies-Reference-Cited by-同舟云学术

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Distributed Learning to Protect Privacy in Multi-centric Clinical Studies

Published:2015 Issue: Volume: Page:65-75
ISSN:0302-9743
Container-title:Artificial Intelligence in Medicine
language:
Short-container-title:

Author:

Damiani Andrea,Vallati Mauro,Gatta Roberto,Dinapoli Nicola,Jochems Arthur,Deist Timo,van Soest Johan,Dekker Andre,Valentini Vincenzo

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-19551-3_8

Reference16 articles.

1. Boyd, S., Parikh, N., Chu, E., Peleato, B., Eckstein, J.: Distributed optimization and statistical learning via the alternating direction method of multipliers. Found. Trends Mach. Learn. 3(1), 1–122 (2011)

2. Caragea, D.: Learning Classifiers from Distributed, Semantically Heterogeneous, Autonomous Data Sources. Ph.D. thesis (2004)

3. Dantzig, G.B., Wolfe, P.: Decomposition principle for linear programs. Operations Research 8, 101–111 (1960)

4. Caragea, D., Reinoso, J., Silvescu, A., Honavar, V.: Statistics gathering for learning from distributed, heterogeneous and autonomous data sources (2003)

5. LNCIS;M.. C. Grant,2008

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