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Aurélien Bellet

D-Cliques: Compensating NonIIDness in Decentralized Federated Learning with Topology


Apr 15, 2021
Aurélien Bellet, Anne-Marie Kermarrec, Erick Lavoie

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Privacy Amplification by Decentralization


Dec 09, 2020
Edwige Cyffers, Aurélien Bellet

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Distributed Differentially Private Averaging with Improved Utility and Robustness to Malicious Parties


Jun 12, 2020
César Sabater, Aurélien Bellet, Jan Ramon

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* 39 pages 
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Design Choices for X-vector Based Speaker Anonymization


May 18, 2020
Brij Mohan Lal Srivastava, Natalia Tomashenko, Xin Wang, Emmanuel Vincent, Junichi Yamagishi, Mohamed Maouche, Aurélien Bellet, Marc Tommasi

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Learning Fair Scoring Functions: Fairness Definitions, Algorithms and Generalization Bounds for Bipartite Ranking


Feb 19, 2020
Robin Vogel, Aurélien Bellet, Stéphan Clémençon

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* 27 pages, 11 figures 
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Advances and Open Problems in Federated Learning


Dec 10, 2019
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Keith Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaid Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konečný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao

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Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion?


Nov 12, 2019
Brij Mohan Lal Srivastava, Aurélien Bellet, Marc Tommasi, Emmanuel Vincent

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Evaluating Voice Conversion-based Privacy Protection against Informed Attackers


Nov 10, 2019
Brij Mohan Lal Srivastava, Nathalie Vauquier, Md Sahidullah, Aurélien Bellet, Marc Tommasi, Emmanuel Vincent

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Private Protocols for U-Statistics in the Local Model and Beyond


Oct 09, 2019
James Bell, Aurélien Bellet, Adrià Gascón, Tejas Kulkarni

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metric-learn: Metric Learning Algorithms in Python


Aug 13, 2019
William de Vazelhes, CJ Carey, Yuan Tang, Nathalie Vauquier, Aurélien Bellet

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* GitHub repository: https://github.com/scikit-learn-contrib/metric-learn 
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Trade-offs in Large-Scale Distributed Tuplewise Estimation and Learning


Jun 21, 2019
Robin Vogel, Aurélien Bellet, Stephan Clémençon, Ons Jelassi, Guillaume Papa

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* 23 pages, 6 figures, ECML 2019 
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Communication-Efficient and Decentralized Multi-Task Boosting while Learning the Collaboration Graph


Jan 25, 2019
Valentina Zantedeschi, Aurélien Bellet, Marc Tommasi

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* 25 pages 
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Escaping the Curse of Dimensionality in Similarity Learning: Efficient Frank-Wolfe Algorithm and Generalization Bounds


Oct 31, 2018
Kuan Liu, Aurélien Bellet

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* Long version of arXiv:1411.2374 (AISTATS 2015) 
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A Probabilistic Theory of Supervised Similarity Learning for Pointwise ROC Curve Optimization


Jul 18, 2018
Robin Vogel, Aurélien Bellet, Stéphan Clémençon

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* PMLR 80 (2018) 5062-5071 
 * 8 pages main paper, 22 pages with appendices, proceedings of ICML 2018 
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A Distributed Frank-Wolfe Framework for Learning Low-Rank Matrices with the Trace Norm


May 11, 2018
Wenjie Zheng, Aurélien Bellet, Patrick Gallinari

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Hiding in the Crowd: A Massively Distributed Algorithm for Private Averaging with Malicious Adversaries


Mar 27, 2018
Pierre Dellenbach, Aurélien Bellet, Jan Ramon

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* 17 pages 
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Personalized and Private Peer-to-Peer Machine Learning


Feb 19, 2018
Aurélien Bellet, Rachid Guerraoui, Mahsa Taziki, Marc Tommasi

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* 20 pages, to appear in the Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018) 
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Decentralized Collaborative Learning of Personalized Models over Networks


Feb 15, 2017
Paul Vanhaesebrouck, Aurélien Bellet, Marc Tommasi

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* To appear in the Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS 2017) 
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Kernel Approximation Methods for Speech Recognition


Jan 13, 2017
Avner May, Alireza Bagheri Garakani, Zhiyun Lu, Dong Guo, Kuan Liu, Aurélien Bellet, Linxi Fan, Michael Collins, Daniel Hsu, Brian Kingsbury, Michael Picheny, Fei Sha

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Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions


Jun 08, 2016
Igor Colin, Aurélien Bellet, Joseph Salmon, Stéphan Clémençon

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Scaling-up Empirical Risk Minimization: Optimization of Incomplete U-statistics


Apr 19, 2016
Stéphan Clémençon, Aurélien Bellet, Igor Colin

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* Journal of Machine Learning Research 17(76):1-36, 2016 
 * To appear in Journal of Machine Learning Research. 34 pages. v2: minor correction to Theorem 4 and its proof, added 1 reference. v3: typo corrected in Proposition 3. v4: improved presentation, added experiments on model selection for clustering, fixed minor typos 
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Extending Gossip Algorithms to Distributed Estimation of U-Statistics


Nov 17, 2015
Igor Colin, Aurélien Bellet, Joseph Salmon, Stéphan Clémençon

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* to be presented at NIPS 2015 
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Similarity Learning for High-Dimensional Sparse Data


Oct 21, 2015
Kuan Liu, Aurélien Bellet, Fei Sha

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* 14 pages. Proceedings of the 18th International Conference on Artificial Intelligence and Statistics (AISTATS 2015) 
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How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets


Jun 17, 2015
Zhiyun Lu, Avner May, Kuan Liu, Alireza Bagheri Garakani, Dong Guo, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha

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A Distributed Frank-Wolfe Algorithm for Communication-Efficient Sparse Learning


Jan 12, 2015
Aurélien Bellet, Yingyu Liang, Alireza Bagheri Garakani, Maria-Florina Balcan, Fei Sha

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* Extended version of the SIAM Data Mining 2015 paper 
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Robustness and Generalization for Metric Learning


Sep 29, 2014
Aurélien Bellet, Amaury Habrard

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* Neurocomputing,151(1):259-267, 2015 
 * 16 pages, to appear in Neurocomputing 
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Sparse Compositional Metric Learning


Apr 15, 2014
Yuan Shi, Aurélien Bellet, Fei Sha

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* 18 pages. To be published in Proceedings of the 27th AAAI Conference on Artificial Intelligence (AAAI 2014) 
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A Survey on Metric Learning for Feature Vectors and Structured Data


Feb 12, 2014
Aurélien Bellet, Amaury Habrard, Marc Sebban

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* Technical report, 59 pages. Changes in v2: fixed typos and improved presentation. Changes in v3: fixed typos. Changes in v4: fixed typos and new methods 
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Supervised Metric Learning with Generalization Guarantees


Jul 23, 2013
Aurélien Bellet

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* PhD thesis defended on December 11, 2012 (Laboratoire Hubert Curien, University of Saint-Etienne) 
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