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A Submodularity-based Clustering Algorithm for the Information Bottleneck and Privacy Funn..
Improving Computational Efficiency of Communication for Omniscience and Successive Omnisci..
Distributed Data Compression in Sensor Clusters: A Maximum Independent Flow Approach
Fairness in Multiterminal Data Compression: A Splitting Method for the Egalitarian Solutio..
Displaying the 20 most recent scholarly works by Ni Ding.
Evolutionary Games for Correlation-Aware Clustering in Massive Machine-to-Machine Networks
Nicole Sawyer, Mehdi Naderi Soorki, Walid Saad, David B Smith, Ni Ding
Journal article | 2019 | IEEE Transactions on Communications
In this paper, the problem of self-organizing, correlation-aware clustering is studied for a dense network of machine-type devices..
A Submodularity-based Clustering Algorithm for the Information Bottleneck and Privacy Funnel
Ni Ding, Parastoo Sadeghi
Conference Proceedings | 2019 | 2019 IEEE Information Theory Workshop (ITW)
For the relevant data S that nests in the observation X, the information bottleneck (IB) aims to encode X into X̂ in X, with order..