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researcher

Thomas Carette

2 papers hereh-index 00 citations3 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CR1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedFederated Latent Class Regression for Hierarchical Data

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2022★ 1 cited

Federated Latent Class Regression for Hierarchical Data

Bin Yang, Thomas Carette, Masanobu Jimbo +1

Federated Learning (FL) allows a number of agents to participate in training a global machine learning model without disclosing locally stored data. Compared to traditional distrib…

cs.CR2022

A normal approximation for joint frequency estimatation under Local Differential Privacy

Thomas Carette

In the recent years, Local Differential Privacy (LDP) has been one of the corner stone of privacy preserving data analysis. However, many challenges still opposes its widespread ap…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.