Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Aurelien Bellet"'
Autor:
Brij Mohan Lal Srivastava, Mohamed Maouche, Md Sahidullah, Emmanuel Vincent, Aurelien Bellet, Marc Tommasi, Natalia Tomashenko, Xin Wang, Junichi Yamagishi
Publikováno v:
IEEE/ACM Transactions on Audio, Speech and Language Processing
IEEE/ACM Transactions on Audio, Speech and Language Processing, 2022, ⟨10.1109/TASLP.2022.3190741⟩
IEEE/ACM Transactions on Audio, Speech and Language Processing, 2022, ⟨10.1109/TASLP.2022.3190741⟩
International audience; We study the scenario where individuals (speakers) contribute to the publication of an anonymized speech corpus. Data users then leverage this public corpus to perform downstream tasks (such as training automatic speech recogn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::078334922c49b17cd7378abbb51a9438
https://inria.hal.science/hal-03197376v3/document
https://inria.hal.science/hal-03197376v3/document
Autor:
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista Bonawit, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D’Oliveira, Hubert Eichner, 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 Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, 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
The term Federated Learning was coined as recently as 2016 to describe a machine learning setting where multiple entities collaborate in solving a machine learning problem, under the coordination of a central server or service provider. Each client's
Similarity between objects plays an important role in both human cognitive processes and artificial systems for recognition and categorization. How to appropriately measure such similarities for a given task is crucial to the performance of many mach
Autor:
Asadi, Mahsa
Publikováno v:
Artificial Intelligence [cs.AI]. Université de Lille, 2022. English. ⟨NNT : 2022ULILB031⟩
Computer Science [cs]. Lille University, 2022. English. ⟨NNT : ⟩
Computer Science [cs]. Lille University, 2022. English. ⟨NNT : ⟩
Nowadays it is commonplace to deal with large scale problems and should we take problem structure into account, it could assist us toward improving learning performance. In this work, we have proposed approaches that take into account the structure i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::587bafa9c92e54d2420aee6fec5d388d
https://inria.hal.science/tel-03892355v2/file/These_ASADI_Mahsa.pdf
https://inria.hal.science/tel-03892355v2/file/These_ASADI_Mahsa.pdf