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pro vyhledávání: '"Abdelmoniem AS"'
Bilevel optimization, crucial for hyperparameter tuning, meta-learning and reinforcement learning, remains less explored in the decentralized learning paradigm, such as decentralized federated learning (DFL). Typically, decentralized bilevel methods
Externí odkaz:
http://arxiv.org/abs/2410.14115
Autor:
Li, Qilei, Abdelmoniem, Ahmed M.
Federated Learning (FL) is a distributed machine learning diagram that enables multiple clients to collaboratively train a global model without sharing their private local data. However, FL systems are vulnerable to attacks that are happening in mali
Externí odkaz:
http://arxiv.org/abs/2408.02813
The training of large models, involving fine-tuning, faces the scarcity of high-quality data. Compared to the solutions based on centralized data centers, updating large models in the Internet of Things (IoT) faces challenges in coordinating knowledg
Externí odkaz:
http://arxiv.org/abs/2407.05268
Autor:
Agarwal, Vibhor, Raman, Aravindh, Sastry, Nishanth, Abdelmoniem, Ahmed M., Tyson, Gareth, Castro, Ignacio
The recent development of decentralised and interoperable social networks (such as the "fediverse") creates new challenges for content moderators. This is because millions of posts generated on one server can easily "spread" to another, even if the r
Externí odkaz:
http://arxiv.org/abs/2404.03048
In Federated Learning (FL), forgetting, or the loss of knowledge across rounds, hampers algorithm convergence, particularly in the presence of severe data heterogeneity among clients. This study explores the nuances of this issue, emphasizing the cri
Externí odkaz:
http://arxiv.org/abs/2402.05558
Autor:
Abdelmoniem, Ahmed M., Bensaou, Brahim
The peculiar congestion patterns in data centers are caused by the bursty and composite nature of traffic, the small bandwidth-delay product, and the tiny switch buffers. It is not practical to modify TCP to adapt to data centers, especially in publi
Externí odkaz:
http://arxiv.org/abs/2401.04850
In today's world, the rapid expansion of IoT networks and the proliferation of smart devices in our daily lives, have resulted in the generation of substantial amounts of heterogeneous data. These data forms a stream which requires special handling.
Externí odkaz:
http://arxiv.org/abs/2312.15375
Autor:
Doaa S. Ahmed, Asmaa M. AboElela, Samar S. Ismail, Zeinab E. Hammour, Rasha A. Fawaz, Marwa E. Abdelmoniem
Publikováno v:
Journal of the Egyptian Public Health Association, Vol 99, Iss 1, Pp 1-9 (2024)
Abstract Background Antibiotic resistance, a major global health concern, is primarily caused by the irrational use of antibiotics. Parents play a crucial role in antibiotic use by children, directly impacting their clinical outcomes. This study aime
Externí odkaz:
https://doaj.org/article/71504af9e11943edb53dda7d9d730847
Autor:
Youness Zidoun, Abdelmoniem EL Mardi
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Background Healthcare simulation is critical for medical education, with traditional methods using simulated patients (SPs). Recent advances in artificial intelligence (AI) offer new possibilities with AI-based simulators, introducing limitl
Externí odkaz:
https://doaj.org/article/da38f33fa5ce41429a79f155814b4900
Publikováno v:
Elsevier Journal of Economy and Technology 2024
Companies across the globe are keen on targeting potential high-value customers in an attempt to expand revenue and this could be achieved only by understanding the customers more. Customer Lifetime Value (CLV) is the total monetary value of transact
Externí odkaz:
http://arxiv.org/abs/2308.08502