Zobrazeno 1 - 10
of 861
pro vyhledávání: '"Jebreel A"'
Autor:
Blanco-Justicia, Alberto, Jebreel, Najeeb, Manzanares, Benet, Sánchez, David, Domingo-Ferrer, Josep, Collell, Guillem, Tan, Kuan Eeik
The objective of digital forgetting is, given a model with undesirable knowledge or behavior, obtain a new model where the detected issues are no longer present. The motivations for forgetting include privacy protection, copyright protection, elimina
Externí odkaz:
http://arxiv.org/abs/2404.02062
Autor:
Sánchez, David, Jebreel, Najeeb, Muralidhar, Krishnamurty, Domingo-Ferrer, Josep, Blanco-Justicia, Alberto
The threat of reconstruction attacks has led the U.S. Census Bureau (USCB) to replace in the Decennial Census 2020 the traditional statistical disclosure limitation based on rank swapping with one based on differential privacy (DP), leading to substa
Externí odkaz:
http://arxiv.org/abs/2311.03171
Autor:
Saud Alshanafey, Wesam I. Kurdi, Maha Tulbah, Rubina MA Khan, Nada Al Sahan, Maisoon Al Mugbel, Fahad Al-Hazzani, Gawaher Almutairi, Ala Jebreel, Maha Al-Nemer
Publikováno v:
Annals of Saudi Medicine, Vol 44, Iss 6, Pp 408-413 (2024)
BACKGROUND: Antenatal fetoscopic endoluminal tracheal occlusion (FETO) has been introduced as an effective intervention to improve the outcome of severe congenital diaphragmatic hernia (CDH). OBJECTIVE: We report our early experience with FETO. DESIG
Externí odkaz:
https://doaj.org/article/5a7b0b98685a41ad98244ea97aa80506
Training deep neural networks (DNNs) usually requires massive training data and computational resources. Users who cannot afford this may prefer to outsource training to a third party or resort to publicly available pre-trained models. Unfortunately,
Externí odkaz:
http://arxiv.org/abs/2302.12758
Autor:
Ibrahim Magboul, Mohammad Jebreel, Fekri Shawtri, Majed Qabajeh, Ayman Shanti, Mohammad Alqudah, Yazan Abu Huson
Publikováno v:
Cogent Business & Management, Vol 11, Iss 1 (2024)
Information systems have greatly enhanced companies’ capabilities to record, track, and measure performance. This study examines the factors influencing employees’ use of accounting information systems (AISs) in Sudan’s top five oil companies a
Externí odkaz:
https://doaj.org/article/4383e09ee4044e13869c3675c7b41568
Autor:
Muzamil M. Abdel Hamid, Abdelrahim O. Mohamed, Fayad O. Mohammed, Arwa Elaagip, Sayed A. Mustafa, Tarig Elfaki, Waleed M. A. Jebreel, Musab M. Albsheer, Sabine Dittrich, Ewurama D. A. Owusu, Seda Yerlikaya
Publikováno v:
Malaria Journal, Vol 23, Iss 1, Pp 1-9 (2024)
Abstract Background Microscopic detection of malaria parasites is labour-intensive, time-consuming, and expertise-demanding. Moreover, the slide interpretation is highly dependent on the staining technique and the technician’s expertise. Therefore,
Externí odkaz:
https://doaj.org/article/dbfe8dfc1dba4aff909dfee472b4564a
Publikováno v:
In Heliyon 15 January 2025 11(1)
In federated learning (FL), a set of participants share updates computed on their local data with an aggregator server that combines updates into a global model. However, reconciling accuracy with privacy and security is a challenge to FL. On the one
Externí odkaz:
http://arxiv.org/abs/2207.05978
Federated learning (FL) provides autonomy and privacy by design to participating peers, who cooperatively build a machine learning (ML) model while keeping their private data in their devices. However, that same autonomy opens the door for malicious
Externí odkaz:
http://arxiv.org/abs/2207.01982
Autor:
Jebreel, Najeeb, Domingo-Ferrer, Josep
Federated learning (FL) enables learning a global machine learning model from local data distributed among a set of participating workers. This makes it possible i) to train more accurate models due to learning from rich joint training data, and ii)
Externí odkaz:
http://arxiv.org/abs/2207.00872