6 citations · 11 across the 8 of their papers we have counts for
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cs.CR2019★ 6 cited
The Value of Collaboration in Convex Machine Learning with Differential Privacy
Nan Wu, Farhad Farokhi, David Smith +1
In this paper, we apply machine learning to distributed private data owned by multiple data owners, entities with access to non-overlapping training datasets. We use noisy, differe…
cs.IT2019★ 2 cited
Attaining Fairness in Communication for Omniscience
Ni Ding, Parastoo Sadeghi, David Smith +1
This paper studies how to attain fairness in communication for omniscience, where a set of users exchange their observations of a discrete multiple random source to attain omniscie…