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researcher

K. Tran

4 papers hereh-index 349 citations7 works total

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

author position
  • first author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CV1
  • cs.DC1
same name
  • K. Tran — 124 papers, h 45
  • K. Tran — 14 papers, h 28
  • K. Tran — 6 papers, h 10
  • K. Tran — 5 papers
  • K. Tran — 4 papers, h 2
  • K. Tran — 4 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedA Federated Deep Learning Framework for Privacy Preservation and Communication Efficiency

36 citations · 41 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2020★ 5 cited

Semi-supervised dictionary learning with graph regularization and active points

Khanh-Hung Tran, Fred-Maurice Ngole-Mboula, Jean-Luc Starck +1

Supervised Dictionary Learning has gained much interest in the recent decade and has shown significant performance improvements in image classification. However, in general, superv…

cs.LG2020

Manifold attack

Khanh-Hung Tran, Fred-Maurice Ngole-Mboula, Jean-Luc Starck

Machine Learning in general and Deep Learning in particular has gained much interest in the recent decade and has shown significant performance improvements for many Computer Visio…

cs.DC2020★ 36 cited

A Federated Deep Learning Framework for Privacy Preservation and Communication Efficiency

Tien-Dung Cao, Tram Truong-Huu, Hien Tran +1

Deep learning has achieved great success in many applications. However, its deployment in practice has been hurdled by two issues: the privacy of data that has to be aggregated cen…

cs.LG2018

Semi-supervised dual graph regularized dictionary learning

Khanh-Hung Tran, Fred-Maurice Ngole-Mboula, Jean-Luc Starck

In this paper, we propose a semi-supervised dictionary learning method that uses both the information in labelled and unlabelled data and jointly trains a linear classifier embedde…

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