Virtually any software running on a computer has been processed by a compiler or a compiler-like tool. Because compilers are such a crucial piece of infrastructure for building …
C Thapa, PCM Arachchige, S Camtepe… - Proceedings of the AAAI …, 2022 - ojs.aaai.org
Federated learning (FL) and split learning (SL) are two popular distributed machine learning approaches. Both follow a model-to-data scenario; clients train and test machine learning …
HC Tanuwidjaja, R Choi, S Baek, K Kim - IEEE Access, 2020 - ieeexplore.ieee.org
The exponential growth of big data and deep learning has increased the data exchange traffic in society. Machine Learning as a Service,(MLaaS) which leverages deep learning …
The image data received through various sensors are of significant importance in Industry 4.0. Unfortunately, these data are highly vulnerable to various malicious attacks during its …
Y Alghofaili, A Albattah, N Alrajeh, MA Rassam… - Applied Sciences, 2021 - mdpi.com
Cloud computing is currently becoming a well-known buzzword in which business titans, such as Microsoft, Amazon, and Google, among others, are at the forefront in developing …
Deep learning (DL) has shown outstanding performances in many fields, including remote sensing (RS). DL is turning into an essential tool for the RS research community. Recently …
Cloud computing empowers enterprises to efficiently manage big data and discovery of useful information which are the most fundamental challenges for big data enabled …
This research paper explores the intricate tapestry of security considerations in integrating augmented reality (AR) within corporate landscapes. The journey begins with an in-depth …
The exponential growth of collected, processed, and shared microdata has given rise to concerns about individuals' privacy. As a result, laws and regulations have emerged to …