activity
20152024
most citedOn the Lift, Related Privacy Measures, and Applications to Privacy-Utility Tradeoffs

17 citations · 32 across the 17 of their papers we have counts for

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Showing 2019 · cs.ITShow all

5 papers · 2 filters

cs.IT2019★ 1 cited

Part II: A Practical Approach for Successive Omniscience

Ni Ding, Parastoo Sadeghi, Thierry Rakotoarivelo

In Part I, we studied the communication for omniscience (CO) problem and proposed a parametric (PAR) algorithm to determine the minimum sum-rate at which a set of users indexed by…

cs.IT2019

Part I: Improving Computational Efficiency of Communication for Omniscience

Ni Ding, Parastoo Sadeghi, Thierry Rakotoarivelo

Communication for omniscience (CO) refers to the problem where the users in a finite set observe a discrete multiple random source and want to exchange data over broadcast chan…

cs.IT2019

Improving Computational Efficiency of Communication for Omniscience and Successive Omniscience

Ni Ding, Parastoo Sadeghi, Thierry Rakotoarivelo

For a group of users in where everyone observes a component of a discrete multiple random source, the process that users exchange data so as to reach omniscience, the state whe…

cs.IT2019★ 7 cited

A Submodularity-based Agglomerative Clustering Algorithm for the Privacy Funnel

Ni Ding, Parastoo Sadeghi

For the privacy funnel (PF) problem, we propose an efficient iterative agglomerative clustering algorithm based on the minimization of the difference of submodular functions (IAC-M…

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…