Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Chahoud, Mario"'
In Federated Learning (FL), the limited accessibility of data from diverse locations and user types poses a significant challenge due to restricted user participation. Expanding client access and diversifying data enhance models by incorporating dive
Externí odkaz:
http://arxiv.org/abs/2405.07175
Containerization technology plays a crucial role in Federated Learning (FL) setups, expanding the pool of potential clients and ensuring the availability of specific subsets for each learning iteration. However, doubts arise about the trustworthiness
Externí odkaz:
http://arxiv.org/abs/2405.00395
Autor:
Sami, Hani, Hammoud, Ahmad, Arafeh, Mouhamad, Wazzeh, Mohamad, Arisdakessian, Sarhad, Chahoud, Mario, Wehbi, Osama, Ajaj, Mohamad, Mourad, Azzam, Otrok, Hadi, Wahab, Omar Abdel, Mizouni, Rabeb, Bentahar, Jamal, Talhi, Chamseddine, Dziong, Zbigniew, Damiani, Ernesto, Guizani, Mohsen
The Metaverse offers a second world beyond reality, where boundaries are non-existent, and possibilities are endless through engagement and immersive experiences using the virtual reality (VR) technology. Many disciplines can benefit from the advance
Externí odkaz:
http://arxiv.org/abs/2304.09240
Autor:
Chahoud, Mario, Sami, Hani, Mourad, Azzam, Otoum, Safa, Otrok, Hadi, Bentahar, Jamal, Guizani, Mohsen
In this paper, we increase the availability and integration of devices in the learning process to enhance the convergence of federated learning (FL) models. To address the issue of having all the data in one location, federated learning, which mainta
Externí odkaz:
http://arxiv.org/abs/2211.02906
Publikováno v:
In Information Processing and Management March 2025 62(2)
Publikováno v:
In Information Processing and Management January 2023 60(1)
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.