Publications

Reda Khoufache

PhD candidate | Machine learning scientist

Reda Khoufache, Mustapha Lebbah, Hanene Azzag, Étienne Goffinet, and Djamel Bouchaffra. Inférence distribuée pour les modèles de mélange de processus de Dirichlet dans l'apprentissage fédéré, 55èmes Journées de Statistique de la SFdS, May 27 - 31, 2024, Bordeaux, France.
Reda Khoufache, Anisse Belhadj, Hanane Azzag, Mustapha Lebbah. Distributed MCMC inference for Bayesian Non-Parametric Latent Block Model. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2024). Taipei, Taiwan. 7-10 May 2024. arvix.
Reda Khoufache, Mustapha Lebbah, Hanene Azzag, Étienne Goffinet, and Djamel Bouchaffra. Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning. In Proceedings of the 2024 SIAM International Conference on Data Mining (SDM), April 18 - 20, Houston, Texas, United States. arvix.

Reda Khoufache, Mohamed Djallel Dilmi, Hanene Azzag, Étienne Goffinet, Mustapha Lebbah. Propriétés émergentes du multi-clustering bayésien non paramétrique : Application aux données d'images multivues. In EGC 2023, vol. RNTI-E-39, pp.639-640. (Poster)
Reda Khoufache, Mohamed Djallel Dilmi, Hanene Azzag, Étienne Goffinet, Mustapha Lebbah. Propriétés émergentes du multi-clustering bayésien non paramétrique: Application aux données images multivues. Société Francophone de Classification (SFC 2023). 6-7 juillet, Strasbourg, France.

Reda Khoufache, Mohamed Djallel Dilmi, Hanene Azzag, Etienne Goffinet, and Mustapha LEBBAH. Emerging properties from Bayesian Non-Parametric for multiple clustering: Application for multi-view image dataset". In workshop DLC@ICDM 2022, Nov. 28 – Dec. 1, Orlando, Florida, United States.