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On-Demand Model and Client Deployment in Federated Learning with Deep Reinforcement Learning

Autor: Chahoud, Mario, Sami, Hani, Mourad, Azzam, Otrok, Hadi, Bentahar, Jamal, Guizani, Mohsen

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

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Trust Driven On-Demand Scheme for Client Deployment in Federated Learning

Autor: Chahoud, Mario, Mourad, Azzam, Otrok, Hadi, Bentahar, Jamal, Guizani, Mohsen

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

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Akademický článek

Increased spatial coupling of integrin and collagen IV in the immunoresistant clear-cell renal-cell carcinoma tumor microenvironment

Publikováno v: Genome Biology, Vol 25, Iss 1, Pp 1-26 (2024)

Abstract Background Immunotherapy has improved survival for patients with advanced clear cell renal cell carcinoma (ccRCC), but resistance to therapy develops in most patients. We use cellular-resolution spatial transcriptomics in patients with immun

Externí odkaz: https://doaj.org/article/f9fbb4460da54ddd849e0fc913c87b72

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The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions

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

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ON-DEMAND-FL: A Dynamic and Efficient Multi-Criteria Federated Learning Client Deployment Scheme

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

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Akademický článek

Subsistence economy in the South Caucasus during the Early Chalcolithic period: bioarchaeological analysis of Bavra Ablari rock-shelter (Samtskhe-Javakheti region, Georgia)

Autor: Alexia Decaix, Lucie Martin, Erwan Messager, Jwana Chahoud, Bastien Varoutsikos, Ana Mgeladze, Manana Gabunia, Tamar Agapishvili, Christine Chataigner

Publikováno v: Frontiers in Environmental Archaeology, Vol 3 (2024)

This paper examines the subsistence economy in the South Caucasus during the Early Chalcolithic (c.4700–4300 BC) through bioarchaeological analyses of the Bavra Ablari rock shelter site. This region, rich in biodiversity and characterized by a vari

Externí odkaz: https://doaj.org/article/00ce4cf434e1402ca4af796f3211f52c

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