Aurelien Bellet

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UMR 9189 - CENTRE DE RECHERCHE EN INFORMATIQUE, SIGNAL ET AUTOMATIQUE DE LILLE

Publications

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ICML 2024 - Forty-first International Conference on Machine Learning, Jul 2024, Vienne (Austria), Austria. <a target=\"_blank\" href=\"https://dx.doi.org/10.48550/arXiv.2402.10001\">⟨10.48550/arXiv.2402.10001⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04610652v1\">⟨hal-04610652⟩</a>", "title_s":["Privacy Attacks in Decentralized Learning"], "authFullName_s":["Abdellah El Mrini","Edwige Cyffers","Aurélien Bellet"], "halId_s":"hal-04610652", "docType_s":"COMM", "producedDateY_i":2024 },{ "citationRef_s":"ICML 2024 - The Forty-first International Conference on Machine Learning, Jul 2024, Vienne, Austria", "citationFull_s":"Batiste Le Bars, Aurélien Bellet, Marc Tommasi, Kevin Scaman, Giovanni Neglia. Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm. ICML 2024 - The Forty-first International Conference on Machine Learning, Jul 2024, Vienne, Austria. <a target=\"_blank\" href=\"https://hal.science/hal-04611418v1\">⟨hal-04611418⟩</a>", "title_s":["Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm"], "authFullName_s":["Batiste Le Bars","Aurélien Bellet","Marc Tommasi","Kevin Scaman","Giovanni Neglia"], "halId_s":"hal-04611418", "docType_s":"COMM", "producedDateY_i":2024 },{ "citationRef_s":"ICML 2024 - Forty-first International Conference on Machine Learning, Jul 2024, Vienne (Autriche), Austria. <a target=\"_blank\" href=\"https://dx.doi.org/10.48550/arXiv.2402.07471\">⟨10.48550/arXiv.2402.07471⟩</a>", "citationFull_s":"Edwige Cyffers, Aurélien Bellet, Jalaj Upadhyay. Differentially Private Decentralized Learning with Random Walks. ICML 2024 - Forty-first International Conference on Machine Learning, Jul 2024, Vienne (Autriche), Austria. <a target=\"_blank\" href=\"https://dx.doi.org/10.48550/arXiv.2402.07471\">⟨10.48550/arXiv.2402.07471⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04610660v1\">⟨hal-04610660⟩</a>", "title_s":["Differentially Private Decentralized Learning with Random Walks"], "authFullName_s":["Edwige Cyffers","Aurélien Bellet","Jalaj Upadhyay"], "halId_s":"hal-04610660", "docType_s":"COMM", "producedDateY_i":2024 },{ "citationRef_s":"2024", "citationFull_s":"Pierre Humbert, Batiste Le Bars, Aurélien Bellet, Sylvain Arlot. Marginal and training-conditional guarantees in one-shot federated conformal prediction. 2024. <a target=\"_blank\" href=\"https://hal.science/hal-04579882v1\">⟨hal-04579882⟩</a>", "title_s":["Marginal and training-conditional guarantees in one-shot federated conformal prediction"], "authFullName_s":["Pierre Humbert","Batiste Le Bars","Aurélien Bellet","Sylvain Arlot"], "halId_s":"hal-04579882", "docType_s":"UNDEFINED", "producedDateY_i":2024 },{ "citationRef_s":"ICLR 2024 - 12th International Conference on Learning Representations, May 2024, Vienna (Austria), Austria", "citationFull_s":"Ali Shahin Shamsabadi, Gefei Tan, Tudor Ioan Cebere, Aurélien Bellet, Hamed Haddadi, et al.. Confidential-DPproof: Confidential Proof of Differentially Private Training. ICLR 2024 - 12th International Conference on Learning Representations, May 2024, Vienna (Austria), Austria. <a target=\"_blank\" href=\"https://hal.science/hal-04610635v1\">⟨hal-04610635⟩</a>", "title_s":["Confidential-DPproof: Confidential Proof of Differentially Private Training"], "authFullName_s":["Ali Shahin Shamsabadi","Gefei Tan","Tudor Ioan Cebere","Aurélien Bellet","Hamed Haddadi","Nicolas Papernot","Xiao Wang","Adrian Weller"], "halId_s":"hal-04610635", "docType_s":"COMM", "producedDateY_i":2024 },{ "citationRef_s":"AISTATS 2024 - 27th International Conference on Artificial Intelligence and Statistics, May 2024, Valencia, Spain. pp.3079-3087", "citationFull_s":"Hadrien Hendrikx, Paul Mangold, Aurélien Bellet. The Relative Gaussian Mechanism and its Application to Private Gradient Descent. AISTATS 2024 - 27th International Conference on Artificial Intelligence and Statistics, May 2024, Valencia, Spain. pp.3079-3087. <a target=\"_blank\" href=\"https://hal.science/hal-04370596v1\">⟨hal-04370596⟩</a>", "title_s":["The Relative Gaussian Mechanism and its Application to Private Gradient Descent"], "authFullName_s":["Hadrien Hendrikx","Paul Mangold","Aurélien Bellet"], "halId_s":"hal-04370596", "docType_s":"COMM", "producedDateY_i":2024 },{ "citationRef_s":"International Conference on Machine Learning (ICML 2024), 2024, Vienna (Austria), Austria", "citationFull_s":"Clément Pierquin, Aurélien Bellet, Marc Tommasi, Matthieu Boussard. Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration via Shift Reduction Lemmas. International Conference on Machine Learning (ICML 2024), 2024, Vienna (Austria), Austria. <a target=\"_blank\" href=\"https://inria.hal.science/hal-04363020v2\">⟨hal-04363020v2⟩</a>", "title_s":["Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration via Shift Reduction Lemmas"], "authFullName_s":["Clément Pierquin","Aurélien Bellet","Marc Tommasi","Matthieu Boussard"], "halId_s":"hal-04363020", "docType_s":"COMM", "producedDateY_i":2024 },{ "citationRef_s":"ICLR 2024 - 12th International Conference on Learning Representations, 2024, Vienna (Austria), Austria", "citationFull_s":"Louis Béthune, Thomas Massena, Thibaut Boissin, Yannick Prudent, Corentin Friedrich, et al.. DP-SGD Without Clipping: The Lipschitz Neural Network Way. ICLR 2024 - 12th International Conference on Learning Representations, 2024, Vienna (Austria), Austria. <a target=\"_blank\" href=\"https://hal.science/hal-04610647v1\">⟨hal-04610647⟩</a>", "title_s":["DP-SGD Without Clipping: The Lipschitz Neural Network Way"], "authFullName_s":["Louis Béthune","Thomas Massena","Thibaut Boissin","Yannick Prudent","Corentin Friedrich","Franck Mamalet","Aurélien Bellet","Mathieu Serrurier","David Vigouroux","Corentin Friedrich"], "halId_s":"hal-04610647", "docType_s":"COMM", "producedDateY_i":2024 },{ "citationRef_s":"EMNLP 2023 - The 2023 Conference on Empirical Methods in Natural Language Processing, Empirical Methods in Natural Language Processing, Dec 2023, Singapore (SG), Singapore", "citationFull_s":"Gaurav Maheshwari, Aurélien Bellet, Pascal Denis, Mikaela Keller. Fair Without Leveling Down: A New Intersectional Fairness Definition. EMNLP 2023 - The 2023 Conference on Empirical Methods in Natural Language Processing, Empirical Methods in Natural Language Processing, Dec 2023, Singapore (SG), Singapore. <a target=\"_blank\" href=\"https://hal.science/hal-04273353v1\">⟨hal-04273353⟩</a>", "title_s":["Fair Without Leveling Down: A New Intersectional Fairness Definition"], "authFullName_s":["Gaurav Maheshwari","Aurélien Bellet","Pascal Denis","Mikaela Keller"], "halId_s":"hal-04273353", "docType_s":"COMM", "producedDateY_i":2023 },{ "citationRef_s":"USENIX Security 2023 - 32nd USENIX Security Symposium, Aug 2023, Anaheim, United States", "citationFull_s":"Sina Sajadmanesh, Ali Shahin Shamsabadi, Aurélien Bellet, Daniel Gatica-Perez. GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation. USENIX Security 2023 - 32nd USENIX Security Symposium, Aug 2023, Anaheim, United States. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03905068v1\">⟨hal-03905068⟩</a>", "title_s":["GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation"], "authFullName_s":["Sina Sajadmanesh","Ali Shahin Shamsabadi","Aurélien Bellet","Daniel Gatica-Perez"], "halId_s":"hal-03905068", "docType_s":"COMM", "producedDateY_i":2023 },{ "citationRef_s":"ICML 2023 - 40th International Conference on Machine Learning, Jul 2023, Honolulu (Hawai), United States", "citationFull_s":"Pierre Humbert, Batiste Le Bars, Aurélien Bellet, Sylvain Arlot. One-Shot Federated Conformal Prediction. ICML 2023 - 40th International Conference on Machine Learning, Jul 2023, Honolulu (Hawai), United States. <a target=\"_blank\" href=\"https://hal.science/hal-03981605v2\">⟨hal-03981605v2⟩</a>", "title_s":["One-Shot Federated Conformal Prediction"], "authFullName_s":["Pierre Humbert","Batiste Le Bars","Aurélien Bellet","Sylvain Arlot"], "halId_s":"hal-03981605", "docType_s":"COMM", "producedDateY_i":2023 },{ "citationRef_s":"Proceedings of the 40th International Conference on Machine Learning (ICML), Jul 2023, Honolulu, United States", "citationFull_s":"Edwige Cyffers, Aurélien Bellet, Debabrota Basu. From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning. Proceedings of the 40th International Conference on Machine Learning (ICML), Jul 2023, Honolulu, United States. <a target=\"_blank\" href=\"https://hal.science/hal-04260417v1\">⟨hal-04260417⟩</a>", "title_s":["From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning"], "authFullName_s":["Edwige Cyffers","Aurélien Bellet","Debabrota Basu"], "halId_s":"hal-04260417", "docType_s":"COMM", "producedDateY_i":2023 },{ "citationRef_s":"AISTATS 2023 - International Conference on Artificial Intelligence and Statistics, Apr 2023, Valencia, Spain", "citationFull_s":"Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi. High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent. AISTATS 2023 - International Conference on Artificial Intelligence and Statistics, Apr 2023, Valencia, Spain. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03714465v3\">⟨hal-03714465v3⟩</a>", "title_s":["High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent"], "authFullName_s":["Paul Mangold","Aurélien Bellet","Joseph Salmon","Marc Tommasi"], "halId_s":"hal-03714465", "docType_s":"COMM", "producedDateY_i":2023 },{ "citationRef_s":"Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023), 2023, Valencia, Spain, Spain", "citationFull_s":"Batiste Le Bars, Aurélien Bellet, Marc Tommasi, Erick Lavoie, Anne-Marie Kermarrec. Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data. Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023), 2023, Valencia, Spain, Spain. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03905091v2\">⟨hal-03905091v2⟩</a>", "title_s":["Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data"], "authFullName_s":["Batiste Le Bars","Aurélien Bellet","Marc Tommasi","Erick Lavoie","Anne-Marie Kermarrec"], "halId_s":"hal-03905091", "docType_s":"COMM", "producedDateY_i":2023 },{ "citationRef_s":"Proceedings on Privacy Enhancing Technologies, 2023, 2023 (1), <a target=\"_blank\" href=\"https://dx.doi.org/10.48550/arXiv.2202.11823\">⟨10.48550/arXiv.2202.11823⟩</a>", "citationFull_s":"Ali Shahin Shamsabadi, Brij Mohan Lal Srivastava, Aurélien Bellet, Nathalie Vauquier, Emmanuel Vincent, et al.. Differentially private speaker anonymization. Proceedings on Privacy Enhancing Technologies, 2023, 2023 (1), <a target=\"_blank\" href=\"https://dx.doi.org/10.48550/arXiv.2202.11823\">⟨10.48550/arXiv.2202.11823⟩</a>. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03588932v1\">⟨hal-03588932⟩</a>", "title_s":["Differentially private speaker anonymization"], "authFullName_s":["Ali Shahin Shamsabadi","Brij Mohan Lal Srivastava","Aurélien Bellet","Nathalie Vauquier","Emmanuel Vincent","Mohamed Maouche","Marc Tommasi","Nicolas Papernot"], "halId_s":"hal-03588932", "docType_s":"ART", "producedDateY_i":2023 },{ "citationRef_s":"NeurIPS 2022 - Thirty-sixth Conference on Neural Information Processing Systems, Nov 2022, New Orleans, United States", "citationFull_s":"Jean Ogier Du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He, et al.. FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. NeurIPS 2022 - Thirty-sixth Conference on Neural Information Processing Systems, Nov 2022, New Orleans, United States. <a target=\"_blank\" href=\"https://hal.science/hal-03900026v1\">⟨hal-03900026⟩</a>", "title_s":["FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings"], "authFullName_s":["Jean Ogier Du Terrail","Samy-Safwan Ayed","Edwige Cyffers","Felix Grimberg","Chaoyang He","Regis Loeb","Paul Mangold","Tanguy Marchand","Othmane Marfoq","Erum Mushtaq","Boris Muzellec","Constantin Philippenko","Santiago Silva","Maria Teleńczuk","Shadi Albarqouni","Salman Avestimehr","Aurélien Bellet","Aymeric Dieuleveut","Martin Jaggi","Sai Praneeth Karimireddy","Marco Lorenzi","Giovanni Neglia","Marc Tommasi","Mathieu Andreux"], "halId_s":"hal-03900026", "docType_s":"COMM", "producedDateY_i":2022 },{ "citationRef_s":"NeurIPS 2022 - 36th Conference on Neural Information Processing Systems, Nov 2022, New Orleans, United States", "citationFull_s":"Edwige Cyffers, Mathieu Even, Aurélien Bellet, Laurent Massoulié. Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging. NeurIPS 2022 - 36th Conference on Neural Information Processing Systems, Nov 2022, New Orleans, United States. <a target=\"_blank\" href=\"https://cnrs.hal.science/hal-03906768v1\">⟨hal-03906768⟩</a>", "title_s":["Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging"], "authFullName_s":["Edwige Cyffers","Mathieu Even","Aurélien Bellet","Laurent Massoulié"], "halId_s":"hal-03906768", "docType_s":"COMM", "producedDateY_i":2022 },{ "citationRef_s":"Machine Learning, 2022, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/s10994-022-06267-9\">⟨10.1007/s10994-022-06267-9⟩</a>", "citationFull_s":"César Sabater, Aurélien Bellet, Jan Ramon. An Accurate, Scalable and Verifiable Protocol for Federated Differentially Private Averaging. Machine Learning, 2022, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/s10994-022-06267-9\">⟨10.1007/s10994-022-06267-9⟩</a>. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03820603v2\">⟨hal-03820603v2⟩</a>", "title_s":["An Accurate, Scalable and Verifiable Protocol for Federated Differentially Private Averaging"], "authFullName_s":["César Sabater","Aurélien Bellet","Jan Ramon"], "halId_s":"hal-03820603", "docType_s":"ART", "producedDateY_i":2022 },{ "citationRef_s":"Interspeech 2022 - Human and Humanizing Speech Technology, Sep 2022, Incheon, South Korea", "citationFull_s":"Mohamed Maouche, Brij Mohan Lal Srivastava, Nathalie Vauquier, Aurélien Bellet, Marc Tommasi, et al.. Enhancing speech privacy with slicing. Interspeech 2022 - Human and Humanizing Speech Technology, Sep 2022, Incheon, South Korea. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03369137v2\">⟨hal-03369137v2⟩</a>", "title_s":["Enhancing speech privacy with slicing"], "authFullName_s":["Mohamed Maouche","Brij Mohan Lal Srivastava","Nathalie Vauquier","Aurélien Bellet","Marc Tommasi","Emmanuel Vincent"], "halId_s":"hal-03369137", "docType_s":"COMM", "producedDateY_i":2022 },{ "citationRef_s":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies , 2022, 6 (3), pp.1-27. <a target=\"_blank\" href=\"https://dx.doi.org/10.1145/3550302\">⟨10.1145/3550302⟩</a>", "citationFull_s":"Yacine Belal, Aurélien Bellet, Sonia Ben Mokhtar, Vlad Nitu. PEPPER: Empowering User-Centric Recommender Systems over Gossip Learning. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies , 2022, 6 (3), pp.1-27. <a target=\"_blank\" href=\"https://dx.doi.org/10.1145/3550302\">⟨10.1145/3550302⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-03867109v1\">⟨hal-03867109⟩</a>", "title_s":["PEPPER: Empowering User-Centric Recommender Systems over Gossip Learning"], "authFullName_s":["Yacine Belal","Aurélien Bellet","Sonia Ben Mokhtar","Vlad Nitu"], "halId_s":"hal-03867109", "docType_s":"ART", "producedDateY_i":2022 },{ "citationRef_s":"ICML 2022 - 39th International Conference on Machine Learning, Jul 2022, Baltimore, United States. pp.14948-14978", "citationFull_s":"Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi. Differentially Private Coordinate Descent for Composite Empirical Risk Minimization. ICML 2022 - 39th International Conference on Machine Learning, Jul 2022, Baltimore, United States. pp.14948-14978. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03424974v3\">⟨hal-03424974v3⟩</a>", "title_s":["Differentially Private Coordinate Descent for Composite Empirical Risk Minimization"], "authFullName_s":["Paul Mangold","Aurélien Bellet","Joseph Salmon","Marc Tommasi"], "halId_s":"hal-03424974", "docType_s":"COMM", "producedDateY_i":2022 },{ "citationRef_s":"IEEE/ACM Transactions on Audio, Speech and Language Processing, 2022, <a target=\"_blank\" href=\"https://dx.doi.org/10.1109/TASLP.2022.3190741\">⟨10.1109/TASLP.2022.3190741⟩</a>", "citationFull_s":"Brij Mohan Lal Srivastava, Mohamed Maouche, Md Sahidullah, Emmanuel Vincent, Aurélien Bellet, et al.. Privacy and utility of x-vector based speaker anonymization. IEEE/ACM Transactions on Audio, Speech and Language Processing, 2022, <a target=\"_blank\" href=\"https://dx.doi.org/10.1109/TASLP.2022.3190741\">⟨10.1109/TASLP.2022.3190741⟩</a>. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03197376v3\">⟨hal-03197376v3⟩</a>", "title_s":["Privacy and utility of x-vector based speaker anonymization"], "authFullName_s":["Brij Mohan Lal Srivastava","Mohamed Maouche","Md Sahidullah","Emmanuel Vincent","Aurélien Bellet","Marc Tommasi","Natalia Tomashenko","Xin Wang","Junichi Yamagishi"], "halId_s":"hal-03197376", "docType_s":"ART", "producedDateY_i":2022 },{ "citationRef_s":"Findings of the Association for Computational Linguistics: EMNLP 2022, 2022, Abu Dhabi, United Arab Emirates", "citationFull_s":"Gaurav Maheshwari, Pascal Denis, Mikaela Keller, Aurélien Bellet. Fair NLP Models with Differentially Private Text Encoders. Findings of the Association for Computational Linguistics: EMNLP 2022, 2022, Abu Dhabi, United Arab Emirates. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03905094v1\">⟨hal-03905094⟩</a>", "title_s":["Fair NLP Models with Differentially Private Text Encoders"], "authFullName_s":["Gaurav Maheshwari","Pascal Denis","Mikaela Keller","Aurélien Bellet"], "halId_s":"hal-03905094", "docType_s":"COMM", "producedDateY_i":2022 },{ "citationRef_s":"Proceedings of The 25th International Conference on Artificial Intelligence and Statistics,, 2022, Virtual, Spain", "citationFull_s":"Edwige Cyffers, Aurélien Bellet. Privacy Amplification by Decentralization. Proceedings of The 25th International Conference on Artificial Intelligence and Statistics,, 2022, Virtual, Spain. <a target=\"_blank\" href=\"https://cnrs.hal.science/hal-03906735v1\">⟨hal-03906735⟩</a>", "title_s":["Privacy Amplification by Decentralization"], "authFullName_s":["Edwige Cyffers","Aurélien Bellet"], "halId_s":"hal-03906735", "docType_s":"COMM", "producedDateY_i":2022 },{ "citationRef_s":"41st International Symposium on Reliable Distributed Systems (SRDS), 2022, Vienna, Austria", "citationFull_s":"Aurélien Bellet, Anne-Marie Kermarrec, Erick Lavoie. D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning. 41st International Symposium on Reliable Distributed Systems (SRDS), 2022, Vienna, Austria. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03905085v1\">⟨hal-03905085⟩</a>", "title_s":["D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning"], "authFullName_s":["Aurélien Bellet","Anne-Marie Kermarrec","Erick Lavoie"], "halId_s":"hal-03905085", "docType_s":"COMM", "producedDateY_i":2022 },{ "citationRef_s":"Proceedings of The 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 2022, Virtual, Spain", "citationFull_s":"Maxence Noble, Aurélien Bellet, Aymeric Dieuleveut. Differentially Private Federated Learning on Heterogeneous Data. Proceedings of The 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 2022, Virtual, Spain. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03905078v1\">⟨hal-03905078⟩</a>", "title_s":["Differentially Private Federated Learning on Heterogeneous Data"], "authFullName_s":["Maxence Noble","Aurélien Bellet","Aymeric Dieuleveut"], "halId_s":"hal-03905078", "docType_s":"COMM", "producedDateY_i":2022 },{ "citationRef_s":"Transactions on Machine Learning Research Journal, 2022", "citationFull_s":"Mahsa Asadi, Aurélien Bellet, Odalric-Ambrym Maillard, Marc Tommasi. Collaborative Algorithms for Online Personalized Mean Estimation. Transactions on Machine Learning Research Journal, 2022. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03905917v1\">⟨hal-03905917⟩</a>", "title_s":["Collaborative Algorithms for Online Personalized Mean Estimation"], "authFullName_s":["Mahsa Asadi","Aurélien Bellet","Odalric-Ambrym Maillard","Marc Tommasi"], "halId_s":"hal-03905917", "docType_s":"ART", "producedDateY_i":2022 },{ "citationRef_s":"2021", "citationFull_s":"Riad Ladjel, Nicolas Anciaux, Aurélien Bellet, Guillaume Scerri. Mitigating Leakage from Data Dependent Communications in Decentralized Computing using Differential Privacy. 2021. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03502320v1\">⟨hal-03502320⟩</a>", "title_s":["Mitigating Leakage from Data Dependent Communications in Decentralized Computing using Differential Privacy"], "authFullName_s":["Riad Ladjel","Nicolas Anciaux","Aurélien Bellet","Guillaume Scerri"], "halId_s":"hal-03502320", "docType_s":"UNDEFINED", "producedDateY_i":2021 },{ "citationRef_s":"2021", "citationFull_s":"Aurélien Bellet, Anne-Marie Kermarrec, Erick Lavoie. D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning. 2021. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03498160v1\">⟨hal-03498160⟩</a>", "title_s":["D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning"], "authFullName_s":["Aurélien Bellet","Anne-Marie Kermarrec","Erick Lavoie"], "halId_s":"hal-03498160", "docType_s":"UNDEFINED", "producedDateY_i":2021 },{ "citationRef_s":"2021", "citationFull_s":"Maxence Noble, Aurélien Bellet, Aymeric Dieuleveut. Differentially Private Federated Learning on Heterogeneous Data. 2021. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03498158v1\">⟨hal-03498158⟩</a>", "title_s":["Differentially Private Federated Learning on Heterogeneous Data"], "authFullName_s":["Maxence Noble","Aurélien Bellet","Aymeric Dieuleveut"], "halId_s":"hal-03498158", "docType_s":"UNDEFINED", "producedDateY_i":2021 },{ "citationRef_s":"NeurIPS 2021 - 35th Conference on Neural Information Processing Systems, Dec 2021, Sydney / Virtual, Australia", "citationFull_s":"Othmane Marfoq, Giovanni Neglia, Aurélien Bellet, Laetitia Kameni, Richard Vidal. Federated Multi-Task Learning under a Mixture of Distributions. NeurIPS 2021 - 35th Conference on Neural Information Processing Systems, Dec 2021, Sydney / Virtual, Australia. <a target=\"_blank\" href=\"https://hal.science/hal-03406994v1\">⟨hal-03406994⟩</a>", "title_s":["Federated Multi-Task Learning under a Mixture of Distributions"], "authFullName_s":["Othmane Marfoq","Giovanni Neglia","Aurélien Bellet","Laetitia Kameni","Richard Vidal"], "halId_s":"hal-03406994", "docType_s":"COMM", "producedDateY_i":2021 },{ "citationRef_s":"Machine Learning [cs.LG]. Université de Lille, 2021", "citationFull_s":"Aurélien Bellet. Contributions to Decentralized and Privacy-Preserving Machine Learning. Machine Learning [cs.LG]. Université de Lille, 2021. <a target=\"_blank\" href=\"https://theses.hal.science/tel-03542802v3\">⟨tel-03542802v3⟩</a>", "title_s":["Contributions to Decentralized and Privacy-Preserving Machine Learning"], "authFullName_s":["Aurélien Bellet"], "halId_s":"tel-03542802", "docType_s":"HDR", "producedDateY_i":2021 },{ "citationRef_s":"The 24th International Conference on Artificial Intelligence and Statistics, Apr 2021, Virtual conference, France. pp.1-35", "citationFull_s":"Robin Vogel, Aurélien Bellet, Stéphan Clémençon. Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints. 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Aurelien Bellet

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