Chiaroscuro, Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, SIGMOD '15, pp.779-794, 2015. ,
DOI : 10.1145/2723372.2749453
URL : https://hal.archives-ouvertes.fr/hal-01136686
A distributed protocol for privacy preserving aggregation with non-permanent participants, Computing, vol.72, issue.1, pp.893-912, 2015. ,
DOI : 10.1007/s00607-013-0373-6
Brahms, Proceedings of the twenty-seventh ACM symposium on Principles of distributed computing, PODC '08, pp.2340-2359, 2009. ,
DOI : 10.1145/1400751.1400772
FreeRec: an anonymous and distributed personalization architecture, Computing, vol.97, issue.9, pp.961-980, 2015. ,
DOI : 10.1007/s00607-013-0377-2
URL : https://hal.archives-ouvertes.fr/hal-00844813
Fully Distributed Privacy Preserving Mini-batch Gradient Descent Learning, DAIS. DisCoTec, pp.30-44 ,
DOI : 10.1007/978-3-319-19129-4_3
URL : http://publicatio.bibl.u-szeged.hu/5252/1/dais15.pdf
Distributed Differentially Private Stochastic Gradient Descent: An Empirical Study, 2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), pp.566-573, 2016. ,
DOI : 10.1109/PDP.2016.19
Gossip-based aggregation in large dynamic networks, ACM Transactions on Computer Systems, vol.23, issue.3, pp.219-252, 2005. ,
DOI : 10.1145/1082469.1082470
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.100.8747
How to share a secret, Communications of the ACM, vol.22, issue.11, pp.612-613, 1979. ,
DOI : 10.1145/359168.359176