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83 Results
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Decentralized Collaborative Learning of Personalized Models over Networks[Research Report] INRIA Lille. 2016
Reports
hal-01383544v1
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Apprentissage de bonnes similarités pour la classification linéaire parcimonieuseConférence Francophone sur l'Apprentissage Automatique - CAp 2012, May 2012, Nancy, France. 16 p
Conference papers
hal-00690242v1
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One-Shot Federated Conformal PredictionICML 2023 - 40th International Conference on Machine Learning, Jul 2023, Honolulu (Hawai), United States
Conference papers
hal-03981605v2
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Metric LearningMorgan & Claypool Publishers (USA), Synthesis Lectures on Artificial Intelligence and Machine Learning, pp 1-151, 9 (1), pp.1-151, 2015, Synthesis Lectures on Artificial Intelligence and Machine Learning, ⟨10.2200/S00626ED1V01Y201501AIM030⟩
Books
hal-01121733v1
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Robustness and Generalization for Metric LearningNeurocomputing, 2015, pp.16. ⟨10.1016/j.neucom.2014.09.044⟩
Journal articles
hal-01075370v1
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D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning2021
Preprints, Working Papers, ...
hal-03498160v1
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Joint Learning of the Graph and the Data Representation for Graph-Based Semi-Supervised Learning14th Workshop on Graph-Based Natural Language Processing (TextGraphs 2020), 2020, Virtual, Spain
Conference papers
hal-03100039v1
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Hiding in the Crowd: A Massively Distributed Algorithm for Private Averaging with Malicious Adversaries[Research Report] Inria. 2018
Reports
hal-01923000v1
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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
Conference papers
hal-02166434v1
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Gossip Dual Averaging for Decentralized Optimization of Pairwise FunctionsInternational Conference on Machine Learning (ICML 2016), Jun 2016, New York, United States
Conference papers
hal-01329315v1
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Gossip Dual Averaging for Decentralized Optimization of Pairwise FunctionsGossip Dual Averaging for Decentralized Optimization of Pairwise Functions, 2016, ICML
Book sections
hal-02107511v1
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Distributed Differentially Private Averaging with Improved Utility and Robustness to Malicious Parties2020
Preprints, Working Papers, ...
hal-03100019v1
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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
Conference papers
hal-01745796v1
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A Distributed Frank-Wolfe Framework for Learning Low-Rank Matrices with the Trace NormMachine Learning, 2018, ⟨10.1007/s10994-018-5713-5⟩
Journal articles
hal-01922994v1
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Learning Discriminative Tree Edit Similarities for Linear Classification - Application to Melody RecognitionNeurocomputing, 2016, 214, pp.155-161. ⟨10.1016/j.neucom.2016.06.006⟩
Journal articles
hal-01330492v1
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Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data2022
Preprints, Working Papers, ...
hal-03905091v1
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Fair NLP Models with Differentially Private Text EncodersFindings of the Association for Computational Linguistics: EMNLP 2022, 2022, Abu Dhabi, United Arab Emirates
Conference papers
hal-03905094v1
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Private Protocols for U-Statistics in the Local Model and BeyondAISTATS 2020 - 23rd International Conference on Artificial Intelligence and Statistics, Aug 2020, Palermo, Italy
Conference papers
hal-02310236v2
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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
Conference papers
hal-02166758v1
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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
Conference papers
hal-03424974v3
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GAP: Differentially Private Graph Neural Networks with Aggregation PerturbationUSENIX Security 2023 - 32nd USENIX Security Symposium, Aug 2023, Anaheim, United States
Conference papers
hal-03905068v1
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Differentially Private Federated Learning on Heterogeneous DataProceedings of The 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 2022, Virtual, Spain
Conference papers
hal-03905078v1
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D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning41st International Symposium on Reliable Distributed Systems (SRDS), 2022, Vienna, Austria
Conference papers
hal-03905085v1
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Contributions to Decentralized and Privacy-Preserving Machine LearningMachine Learning [cs.LG]. Université de Lille, 2021
Habilitation à diriger des recherches
tel-03542802v3
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Design Choices for X-vector Based Speaker AnonymizationINTERSPEECH 2020, International Speech Communication Association (ISCA), Oct 2020, Shanghai, China
Conference papers
hal-02610447v2
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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⟩
Journal articles
hal-03197376v3
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Enhancing speech privacy with slicingInterspeech 2022 - Human and Humanizing Speech Technology, Sep 2022, Incheon, South Korea
Conference papers
hal-03369137v2
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Extending Gossip Algorithms to Distributed Estimation of U-statisticsAnnual Conference on Neural Information Processing Systems (NIPS), Dec 2015, Montréal, Canada
Conference papers
hal-01214665v1
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Extending Gossip Algorithms to Distributed Estimation of U -StatisticsExtending Gossip Algorithms to Distributed Estimation of U -Statistics, 2015
Book sections
hal-02107483v1
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Vote de majorité a priori contraint pour la classification binaire : spécification au cas des plus proches voisinsConférence sur l'Apprentissage Automatique (CAp), Jul 2013, Lille, France
Conference papers
hal-00850241v1
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