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pro vyhledávání: '"Kameni, A"'
Monitoring, understanding, and optimizing the energy consumption of Machine Learning (ML) are various reasons why it is necessary to evaluate the energy usage of ML. However, there exists no universal tool that can answer this question for all use ca
Externí odkaz:
http://arxiv.org/abs/2408.15128
Autor:
Cremonesi, Francesco, Vesin, Marc, Cansiz, Sergen, Bouillard, Yannick, Balelli, Irene, Innocenti, Lucia, Silva, Santiago, Ayed, Samy-Safwan, Taiello, Riccardo, Kameni, Laetita, Vidal, Richard, Orlhac, Fanny, Nioche, Christophe, Lapel, Nathan, Houis, Bastien, Modzelewski, Romain, Humbert, Olivier, Önen, Melek, Lorenzi, Marco
The real-world implementation of federated learning is complex and requires research and development actions at the crossroad between different domains ranging from data science, to software programming, networking, and security. While today several
Externí odkaz:
http://arxiv.org/abs/2304.12012
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 102920- (2024)
In order to achieve a sustainable, low-carbon energy future, it is necessary to develop innovative and integrated solutions. However, one of the main obstacles to the advancement of renewable energy is storage. With this in mind, hybrid systems combi
Externí odkaz:
https://doaj.org/article/60587fdb407c4deaaa8e5160fc69c2fb
Publikováno v:
Acta Herpetologica (2024)
African skinks of the genus Trachylepis is one of the most diverse genera of lizards in Africa. Although, many species have not been validated phylogenetically in recent years. In this study we evaluate the phylogenetic status of the Cameroon Volcani
Externí odkaz:
https://doaj.org/article/686148c709c84297a9e56cd8838e1313
Federated learning (FL) is an effective solution to train machine learning models on the increasing amount of data generated by IoT devices and smartphones while keeping such data localized. Most previous work on federated learning assumes that clien
Externí odkaz:
http://arxiv.org/abs/2301.01542
Publikováno v:
Tropicultura, Vol 27, Iss 2, Pp 98-104 (2009)
Horticultural Production Systems in the Soudano-sahelian and Soudano-guinean Agro Ecological Zones of Cameroon: Cases of Garoua and Ngaoundéré. A study was carried out in Garoua (Soudano-Sahelian zone) and Ngaoundéré (Soudano-Guinean zone) to cha
Externí odkaz:
https://doaj.org/article/1dd7745a26ee46e88e40acf17a3a51f1
Publikováno v:
Tropicultura, Vol 27, Iss 1, Pp 3-7 (2009)
Traditionnal Production and Commercialization of Shea Butter in North-Cameroon. Shea (Vitellaria paradoxa) from the Sapotaceae family yields fruits with an oily seed from which is extracted a butter commonly used for food and cosmetics. The present s
Externí odkaz:
https://doaj.org/article/305576bbd481426f9d73e2db10d7c672
Autor:
Fraboni, Yann, Van Waerebeke, Martin, Scaman, Kevin, Vidal, Richard, Kameni, Laetitia, Lorenzi, Marco
Machine Unlearning (MU) is an increasingly important topic in machine learning safety, aiming at removing the contribution of a given data point from a training procedure. Federated Unlearning (FU) consists in extending MU to unlearn a given client's
Externí odkaz:
http://arxiv.org/abs/2211.11656
Autor:
Lionel E. Kameni, Michelle Griffin, Charlotte E. Berry, Siavash Shariatzadeh, Mauricio A. Downer, Caleb Valencia, Alexander Z. Fazilat, Rahim Nazerali, Arash Momeni, Michael Januszyk, Michael T. Longaker, Derrick C. Wan
Publikováno v:
Radiation Oncology, Vol 19, Iss 1, Pp 1-11 (2024)
Abstract Background Radiation-induced fibrosis (RIF) is an important late complication of radiation therapy, and the resulting damaging effects of RIF can significantly impact reconstructive outcomes. There is currently a paucity of effective treatme
Externí odkaz:
https://doaj.org/article/3862a0fca96248d395f820734d5b70a1
Autor:
Kameni N., Michèle Marina, Yuan, Félix Landry, Gonwouo N., LeGrand, Tapondjou N., Walter Paulin, Allen, Kaitlin E., Fomena, Abraham, Tsang, Toby P. N.
Publikováno v:
Diversity and Distributions, 2023 Aug 01. 29(8), 1052-1063.
Externí odkaz:
https://www.jstor.org/stable/48735482