Zobrazeno 1 - 10
of 20 718
pro vyhledávání: '"AHMED, MOHAMED"'
With increasing concerns over privacy in healthcare, especially for sensitive medical data, this research introduces a federated learning framework that combines local differential privacy and secure aggregation using Secure Multi-Party Computation f
Externí odkaz:
http://arxiv.org/abs/2412.00687
In recent years, Large Language Models (LLMs) through Transformer structures have dominated many machine learning tasks, especially text processing. However, these models require massive amounts of data for training and induce high resource requireme
Externí odkaz:
http://arxiv.org/abs/2411.07826
Recent work has highlighted the potential of modelling interactive behaviour analogously to natural language. We propose interactive behaviour summarisation as a novel computational task and demonstrate its usefulness for automatically uncovering lat
Externí odkaz:
http://arxiv.org/abs/2410.08356
The introduction of Transformers in 2017 reshaped the landscape of deep learning. Originally proposed for sequence modelling, Transformers have since achieved widespread success across various domains. However, the scalability limitations of Transfor
Externí odkaz:
http://arxiv.org/abs/2410.01201
This research conducts a comparative analysis of four Ant Colony Optimization (ACO) variants -- Ant System (AS), Rank-Based Ant System (ASRank), Max-Min Ant System (MMAS), and Ant Colony System (ACS) -- for solving the Traveling Salesman Problem (TSP
Externí odkaz:
http://arxiv.org/abs/2405.15397
Autor:
Feng, Leo, Tung, Frederick, Hajimirsadeghi, Hossein, Ahmed, Mohamed Osama, Bengio, Yoshua, Mori, Greg
The advent of Transformers marked a significant breakthrough in sequence modelling, providing a highly performant architecture capable of leveraging GPU parallelism. However, Transformers are computationally expensive at inference time, limiting thei
Externí odkaz:
http://arxiv.org/abs/2405.13956
With the rising human-like precision of Large Language Models (LLMs) in numerous tasks, their utilization in a variety of real-world applications is becoming more prevalent. Several studies have shown that LLMs excel on many standard NLP benchmarks.
Externí odkaz:
http://arxiv.org/abs/2404.01667
Autor:
Khoshafa, Majid H., Maraqa, Omar, Moualeu, Jules M., Aboagye, Sylvester, Ngatched, Telex M. N., Ahmed, Mohamed H., Gadallah, Yasser, Di Renzo, Marco
Physical layer security (PLS) has received a growing interest from the research community for its ability to safeguard data confidentiality without relying on key distribution or encryption/decryption. However, the evolution towards the 5G technology
Externí odkaz:
http://arxiv.org/abs/2403.10412
Autor:
Mohamed G. Zeinhom, Sherihan Rezk Ahmed, Ahmed Mohamed Kohail, Islam Fathallah Mohamed Kamel, ALshimaa Mahfouz Abdelrahman, Omar M. AL-Nozha, Mohamed Almoataz, Tarek Youssif Omar Youssif, Ahmed Mohamed Ali Daabis, Hossam Mohamed Refat, Ahmed Ahmed Mohamed Kamal Ebied, Ahmed Elbassiouny, Ahmed Zaki Omar Akl, Ashfaq Shuaib, Mohamed Ismaiel, Asmaa Ibrahem Desouky Mostafa Ibrahem, Mohamed Fouad Elsayed Khalil
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Worldwide, stroke is a leading cause of long-term disability in adults. Alteplase is the only approved treatment for acute ischemic stroke (AIS) and results in an improvement in a third of treated patients. Most studies evaluated the post-al
Externí odkaz:
https://doaj.org/article/c057e650ba9849e8ae73d3a2ebf5703c
With the rapid increase of cloud computing and the high demand for digital content, it is estimated that the power consumption of the IT industry will reach 10 % of the total electric power in the USA by 2020. Multi-core processors (CPUs) and graphic
Externí odkaz:
http://hdl.handle.net/10919/103175