Thierry Rakotoarivelo

research

∙ 12/07/2022

PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels

Convolutional Neural Networks (CNNs) have demonstrated superiority in le...

0 Huaxi Huang, et al. ∙

research

∙ 10/10/2021

Enhancing Utility in the Watchdog Privacy Mechanism

This paper is concerned with enhancing data utility in the privacy watch...

0 Mohammad Amin Zarrabian, et al. ∙

research

∙ 03/25/2021

Realistic Differentially-Private Transmission Power Flow Data Release

For the modeling, design and planning of future energy transmission netw...

11 David Smith, et al. ∙

research

∙ 10/19/2020

On Properties and Optimization of Information-theoretic Privacy Watchdog

We study the problem of privacy preservation in data sharing, where S is...

0 Parastoo Sadeghi, et al. ∙

research

∙ 01/19/2020

Privacy-Utility Tradeoff in a Guessing Framework Inspired by Index Coding

This paper studies the tradeoff in privacy and utility in a single-trial...

0 Yucheng Liu, et al. ∙

research

∙ 12/26/2019

Part II: A Practical Approach for Successive Omniscience

In Part I, we studied the communication for omniscience (CO) problem and...

0 Ni Ding, et al. ∙

research

∙ 12/26/2019

Part I: Improving Computational Efficiency of Communication for Omniscience

Communication for omniscience (CO) refers to the problem where the users...

0 Ni Ding, et al. ∙

research

∙ 03/03/2019

Improving Computational Efficiency of Communication for Omniscience and Successive Omniscience

For a group of users in V where everyone observes a component of a discr...

0 Ni Ding, et al. ∙

research

∙ 02/11/2019

Attaining Fairness in Communication for Omniscience

This paper studies how to attain fairness in communication for omniscien...

0 Ni Ding, et al. ∙

research

∙ 02/04/2019

Differentially Private Release of High-Dimensional Datasets using the Gaussian Copula

We propose a generic mechanism to efficiently release differentially pri...

0 Hassan Jameel Asghar, et al. ∙

research

∙ 05/04/2018

Fairness in Multiterminal Data Compression: A Splitting Method for The Egalitarian Solution

This paper proposes a novel splitting (SPLIT) algorithm to achieve fairn...

0 Ni Ding, et al. ∙

research

∙ 04/05/2018

Fairness in Multiterminal Data Compression: Decomposition of Shapley Value

We consider the problem of how to determine a fair source coding rate al...

0 Ni Ding, et al. ∙

research

∙ 04/05/2018

Distributed Data Compression in Sensor Clusters: A Maximum Independent Flow Approach

Let a cluster (network) of sensors be connected by the communication lin...

0 Ni Ding, et al. ∙

Thierry Rakotoarivelo

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