Differential Privacy and Byzantine Resilience in SGD
Author:
Affiliation:
1. Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Funder
Ecocloud
Swiss National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3465084.3467919
Reference43 articles.
1. Deep Learning with Differential Privacy
2. Raef Bassily Adam Smith and Abhradeep Thakurta. 2014. Differentially Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds. arxiv: 1405.7085 [cs.LG] Raef Bassily Adam Smith and Abhradeep Thakurta. 2014. Differentially Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds. arxiv: 1405.7085 [cs.LG]
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