Marc Tommasi
18
Documents
Présentation
Professor in Computer Science at [Lille university](https://www.univ-lille.fr/). I am a member of [CRIStAL](https://www.cristal.univ-lille.fr/?rubrique9) lab. I am the leader of the [Magnet Team](https://team.inria.fr/magnet).
My research interests are machine learning, structured prediction for trees and graphs. I have also studied tree automata and set constraints.
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Privacy and utility of x-vector based speaker anonymizationIEEE/ACM Transactions on Audio, Speech and Language Processing, 2022, ⟨10.1109/TASLP.2022.3190741⟩
Article dans une revue
hal-03197376v3
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Collaborative Algorithms for Online Personalized Mean EstimationTransactions on Machine Learning Research Journal, 2022
Article dans une revue
hal-03905917v1
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High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate DescentAISTATS 2023 - International Conference on Artificial Intelligence and Statistics, Apr 2023, Valencia, Spain
Communication dans un congrès
hal-03714465v3
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Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous DataProceedings of The 26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023), 2023, Valencia, Spain, Spain
Communication dans un congrès
hal-03905091v2
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Differentially Private Coordinate Descent for Composite Empirical Risk MinimizationICML 2022 - 39th International Conference on Machine Learning, Jul 2022, Baltimore, United States. pp.14948-14978
Communication dans un congrès
hal-03424974v3
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Enhancing speech privacy with slicingInterspeech 2022 - Human and Humanizing Speech Technology, Sep 2022, Incheon, South Korea
Communication dans un congrès
hal-03369137v2
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Fully Decentralized Joint Learning of Personalized Models and Collaboration GraphsAISTATS 2020 - The 23rd International Conference on Artificial Intelligence and Statistics, Aug 2020, Palerme / Virtual, Italy
Communication dans un congrès
hal-03100057v1
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Evaluating Voice Conversion-based Privacy Protection against Informed AttackersICASSP 2020 - 45th International Conference on Acoustics, Speech, and Signal Processing, IEEE Signal Processing Society, May 2020, Barcelona, Spain. pp.2802-2806
Communication dans un congrès
hal-02355115v2
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A comparative study of speech anonymization metricsINTERSPEECH 2020, Oct 2020, Shanghai, China
Communication dans un congrès
hal-02907918v1
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Design Choices for X-vector Based Speaker AnonymizationINTERSPEECH 2020, International Speech Communication Association (ISCA), Oct 2020, Shanghai, China
Communication dans un congrès
hal-02610447v2
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Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion?INTERSPEECH 2019 - 20th Annual Conference of the International Speech Communication Association, Sep 2019, Graz, Austria
Communication dans un congrès
hal-02166434v1
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Personalized and Private Peer-to-Peer Machine LearningAISTATS 2018 - 21st International Conference on Artificial Intelligence and Statistics, Apr 2018, Lanzarote, Spain. pp.1-20
Communication dans un congrès
hal-01745796v1
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Communication-Efficient Decentralized Boosting while Discovering the Collaboration GraphNeurIPS 2018 - Workshop on Machine Learning on the Phone and other Consumer Devices, 2nd Workshop on Machine Learning on the Phone and other Consumer Devices (MLPCD 2), Dec 2018, Montréal, Canada
Communication dans un congrès
hal-02166758v1
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Decentralized Collaborative Learning of Personalized Models over NetworksInternational Conference on Artificial Intelligence and Statistics (AISTATS), Apr 2017, Fort Lauderdale, Florida., United States
Communication dans un congrès
hal-01533182v1
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Personalized and Private Peer-to-Peer Machine LearningNIPS 2017 - Workshop on Machine Learning on the Phone and other Consumer Devices, Dec 2017, Long Beach, United States
Communication dans un congrès
hal-01665422v1
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Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs[Research Report] Inria. 2019
Rapport
hal-02166433v1
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Fast and Differentially Private Algorithms for Decentralized Collaborative Machine Learning[Research Report] INRIA Lille. 2017, pp.1-18
Rapport
hal-01665410v1
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Decentralized Collaborative Learning of Personalized Models over Networks[Research Report] INRIA Lille. 2016
Rapport
hal-01383544v1
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