@InProceedings{beimel_et_al:LIPIcs.ITC.2020.14,
author = {Beimel, Amos and Korolova, Aleksandra and Nissim, Kobbi and Sheffet, Or and Stemmer, Uri},
title = {{The Power of Synergy in Differential Privacy: Combining a Small Curator with Local Randomizers}},
booktitle = {1st Conference on Information-Theoretic Cryptography (ITC 2020)},
pages = {14:1--14:25},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-151-1},
ISSN = {1868-8969},
year = {2020},
volume = {163},
editor = {Tauman Kalai, Yael and Smith, Adam D. and Wichs, Daniel},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ITC.2020.14},
URN = {urn:nbn:de:0030-drops-121195},
doi = {10.4230/LIPIcs.ITC.2020.14},
annote = {Keywords: differential privacy, hybrid model, private learning, local model}
}